default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGECCO 2023: Lisbon, Portugal
- Sara Silva, Luís Paquete:
Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023. ACM 2023, ISBN 979-8-4007-0120-7
Competition Entry: Competition Evolutionary Computation in the the Energy Domain: Operation and Planning Applications
- Ansel Y. Rodríguez-González
, Ángel Díaz-Pacheco, Ramón Aranda, Miguel Ángel Álvarez-Carmona, Yoan Martínez López, Julio Madera:
Optimizing Energy Operation and Planning using Ring Cellular Encode-Decode Univariate Marginal Distribution Algorithm. 1-2
Competition Machine Learning for Evolutionary Computation - Solving the Vehicle Routing Problems
- Pratyay Mukherjee, Ramanathan A, Sawvranu Dey:
Efficient Vehicle Routing Problem: A Machine Learning and Evolutionary Computation Approach. 3-4 - Xiangyu Wang, Yaochu Jin:
An Ant Colony Algorithm Assisted by Graph Neural Networks for Solving Vehicle Routing Problems. 5-6 - Peng Yue, Shiqing Liu, Yaochu Jin:
Graph Q-learning Assisted Ant Colony Optimization for Vehicle Routing Problems with Time Windows. 7-8
Hot Off the Press
- Mohamad Alissa, Kevin Sim, Emma Hart:
A Feature-Free Approach to Automated Algorithm Selection. 9-10 - Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi:
Fast Genetic Algorithm for feature selection - A qualitative approximation approach. 11-12 - Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent:
SonOpt: Understanding the behaviour of bi-objective population-based optimisation algorithms through sound. 13-14 - Benjamin Doerr, Zhongdi Qu:
Hot off the Press: A First Runtime Analysis of the NSGA-II on a Multimodal Problem. 15-16 - Benjamin Doerr, Zhongdi Qu:
Hot off the Press: From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds. 17-18 - Benjamin Doerr, Zhongdi Qu:
Hot off the Press: Runtime Analysis for the NSGA-II - Provable Speed-Ups From Crossover. 19-20 - Kei Sen Fong, Shelvia Wongso, Mehul Motani:
Evolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and Adaptability. 21-22 - Max Hort, Rebecca Moussa, Federica Sarro:
Multi-objective Search for Gender-fair and Semantically Correct Word Embeddings (HOP GECCO'23). 23-24 - Tomas Kadavy, Adam Viktorin, Anezka Kazikova, Michal Pluhacek, Roman Senkerik:
Impact of Boundary Control Methods on Bound-constrained Optimization Benchmarking. 25-26 - Marcin Michal Komarnicki, Michal Witold Przewozniczek, Halina Kwasnicka, Krzysztof Walkowiak:
Incremental Recursive Ranking Grouping - A Decomposition Strategy for Additively and Nonadditively Separable Problems. 27-28 - Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag:
Discovering Evolution Strategies via Meta-Black-Box Optimization. 29-30 - Robert Tjarko Lange, Henning Sprekeler:
Lottery tickets in evolutionary optimization: On sparse backpropagation-free trainability. 31-32 - Krzysztof Michalak:
Classifier-based evolutionary multiobjective optimization for the graph protection problem: Hot-off-the-Press Track at GECCO 2023. 33-34 - Matthew Andres Moreno, Alexander Lalejini, Charles Ofria:
Tag Affinity Criteria Influence Adaptive Evolution. 35-36 - Rebecca Moussa, Giovani Guizzo, Federica Sarro:
MEG: Multi-objective Ensemble Generation for Software Defect Prediction (HOP GECCO'23). 37-38 - Suraj Kumar Pandey, Shivashankar B. Nair:
Enhancing Siamese Neural Networks for Multi-class Classification: An Immuno-inspired approach. 39-40 - Stefano Sarti:
Neuroevolution Trajectory Networks: revealing the past of incrementally neuroevolved CNNs. 41-42 - Yang Syu, Yong-Yi Fanjiang:
Multi-Step-Ahead Web Service QoS Time Series Forecasting: A Multi-Predictor-Based Genetic Programming Approach. 43-44 - Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. 45-46 - Jiahui Wu, Paolo Arcaini, Tao Yue, Shaukat Ali, Huihui Zhang:
On the Preferences of Quality Indicators for Multi-Objective Search Algorithms in Search-Based Software Engineering (Hot Off the Press track at GECCO 2023). 47-48 - Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. 49-50
Late-Breaking Abstract
- Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek:
Optimizing Telemetry Signal Influence for Power Consumption Prediction. 51-52 - Miroslaw Blocho, Tomasz Jastrzab, Jakub Nalepa:
Parallel Cooperative Memetic Co-evolution for VRPTW. 53-54 - Jorge Cano, José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares:
Hardware design of a model generator based on grammars and cartesian genetic programming for blood glucose prediction. 55-56 - Carlos Cervigón, José Ignacio Hidalgo:
Estimation of Interstitial Glucose from physical activity measures using Grammatical Evolution. 57-58 - Carlos Cotta:
Tackling Adversarial Faults in Panmictic Evolutionary Algorithms. 59-60 - Francesca Da Ros, Luca Di Gaspero:
Local Search Strategies for Multi-Objective Flowshop Scheduling: Introducing Pareto Late Acceptance Hill Climbing. 61-62 - Marina de la Cruz López, Oscar Garnica, José Ignacio Hidalgo:
Tree-Based Grammatical Evolution with Non-Encoding Nodes. 63-64 - Francisco Fernández de Vega, Jorge Alvarado, Abel Sánchez, Manuel Serrano, Elia Pacioni:
Evolutionary Algorithms: A new hope for the future of music teaching. 65-66 - Kevin Carrie Graham, Sarah Louise Thomson, Alexander Edward Ian Brownlee:
Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality. 67-68 - Julia Heise, Jens Weise, Sanaz Mostaghim:
Towards Benchmarking of Pathfinding Algorithms in Path-Influenced Environments. 69-70 - Jaehyeong Lee, Yoon Choi, Yourim Yoon:
Genetic Algorithm-based Feature Selection for Machine Learning System Diagnosing Sarcopenia with Survey Data. 71-72 - Daniel Parra, Alberto Gutiérrez-Gallego, José Manuel Velasco, Rafael-Jacinto Villanueva, José Ignacio Hidalgo:
Modelling the Transmission Dynamics of Obesity: A Multi-Objective Approach Using Dynamic Structured Grammatical Evolution. 73-74 - Bogdan Ruszczak:
Evolutionary configuration of the Temporal Convolutional Network for the electricity price prediction. 75-76 - Bogdan Ruszczak:
Reducing high-dimensional feature set of hyperspectral measurements for plant phenotype classification. 77-78 - Jakub Sadel, Michal Kawulok, Mateusz Przeliorz, Jakub Nalepa, Daniel Kostrzewa:
Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections. 79-80 - Kisung Seo, Seok-Beom Roh, Soonyong Gwon:
Toward Symbolic Regression based Model Transform for Convolutional Neural Network. 81-82 - Fergal Stapleton, Edgar Galván:
Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares. 83-84 - Khoa Huu Tran, Luc Truong, An Vo, Ngoc Hoang Luong:
Accelerating Gene-pool Optimal Mixing Evolutionary Algorithm for Neural Architecture Search with Synaptic Flow. 85-86
Poster Session: Ant Colony Optimization and Swarm Intelligence
- So Fukuhara, Masao Arakawa:
Development of forked divergence particle swarm optimization. 87-90 - Haoyu Meng, Jinglei Guo, Zeyuan Shi:
Ant Colony Optimization with Pre-exploration of Outliers for TSP. 91-94 - Geoff Nitschke, Scott Hallauer, Emma Hart:
Evolving Herding Behaviour Diversity in Robot Swarms. 95-98 - Paul Moritz Nörenberg, Hendrik Richter:
Do Random and Chaotic Sequences Really Cause Different PSO Performance? 99-102 - Rahul S. Sharma, Venkatanareshbabu Kuppili:
A Novel Approach for Texture Defect Detection using Statistical Features and a Bio-Inspired Algorithm. 103-106 - Pei-Yao Zhu, Sheng-Hao Wu, Ke-Jing Du, Hua Wang, Jun Zhang, Zhi-Hui Zhan:
Diversity-driven Multi-population Particle Swarm Optimization for Dynamic Optimization Problem. 107-110
Poster Session: Complex Systems
- Timothée Anne, Jean-Baptiste Mouret:
Multi-Task Multi-Behavior MAP-Elites. 111-114 - Amine M. Boumaza:
Promoting Originality in Online Swarm Robotics. 115-118 - Shun Cai, Shuai Wang, Zhaoxi Ou:
A Memetic Algorithm to solve the Robust Influence Maximization Problems against Cascading Failures. 119-122 - Nicolas Cambier, Eliseo Ferrante:
Fast Collective Decision-Making without Prior Knowledge. 123-126 - Bert Wang-Chak Chan:
Towards Large-Scale Simulations of Open-Ended Evolution in Continuous Cellular Automata. 127-130 - Jackson Dean, Nick Cheney:
Many-objective Optimization via Voting for Elites. 131-134 - Max Foreback, Sydney Leither, Emily L. Dolson:
Using Evolutionary Computation to Find Parameters that Promote Egalitarian Major Evolutionary Transitions. 135-138 - Juliette Gamot, Mathieu Balesdent, Romain Wuilbercq, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi:
Two-Level Algorithm Combining Bayesian Optimization and Swarm Intelligence for Variable-Size Optimal Layout Problems. 139-142 - Gautier Hamon, Eleni Nisioti, Clément Moulin-Frier:
Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments. 143-146 - Simon J. Hickinbotham:
Drivers of Replicator Organisation in the Nanopond Artificial Chemistry. 147-150 - Johann Huber, Oumar Sane, Miranda Coninx, Faïz Ben Amar, Stéphane Doncieux:
Diversity Search for the Generation of Diverse Grasping Trajectories. 151-154 - Jean-Baptiste Mouret:
Fast generation of centroids for MAP-Elites. 155-158 - Geoff Nitschke, Brandon Gower-Winter:
Inequality and the Emergence of Social Stratification. 159-162 - Csenge Petak, Lapo Frati, Melissa Helen Pespeni, Nick Cheney:
Coping with seasons: evolutionary dynamics of gene networks in a changing environment. 163-166 - Konstantinos Sfikas, Antonios Liapis, Georgios N. Yannakakis:
Controllable Exploration of a Design Space via Interactive Quality Diversity. 167-170 - Simón C. Smith, Bryan Lim, Hannah Janmohamed, Antoine Cully:
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning. 171-174 - John Stevenson:
The Struggle for Existence: Time, Memory and Bloat. 175-178 - Shyam Sudhakaran, Miguel González Duque, Claire Glanois, Matthias Freiberger, Elias Najarro, Sebastian Risi:
Prompt-Guided Level Generation. 179-182 - Marco Tomassini:
A Simple and Efficient Heuristic for Reducing Vulnerability of Complex Networks to Malicious Link Attacks. 183-186
Poster Session: Evolutionary Combinatorial Optimization and Metaheuristics
- Aviral Chawla, Nick Cheney:
Neighbor-Hop Mutation for Genetic Algorithm in Influence Maximization. 187-190 - Francesca Da Ros, Luca Di Gaspero:
Exploring the Potential of JuLeS: A White Box Framework for Local Search Metaheuristics. 191-194 - Shihao Dai, Ya-Hui Jia, Wei-Neng Chen, Yi Mei:
Adaptive Particle Swarm Optimization with Local Search for Multi-robot Multi-point Dynamic Aggregation. 195-198 - Marko Durasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions. 199-202 - Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci:
Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction. 203-206 - Felix Hausberger, Marcelo Fonseca Faraj, Christian Schulz:
A Distributed Multilevel Memetic Algorithm for Signed Graph Clustering. 207-210 - Seyed Mahdi Homayouni, Dalila B. M. M. Fontes, Fernando A. C. C. Fontes:
A Hybrid BRKGA for Joint Scheduling Production, Transport, and Storage/Retrieval in Flexible Job Shops. 211-214 - Li Hong, Yiwen Zhong, Juan Lin:
Simulated Annealing Algorithm for the Bounded Diameter Minimum Spanning Tree Problem. 215-218 - Ahmer Khan, Kalyanmoy Deb:
Optimizing Keyboard Configuration Using Single and Multi-Objective Evolutionary Algorithms. 219-222 - Stanislaw Kozdrowski, Pawel Krysztofik:
Applying an evolutionary algorithm to compare fix and flex grid technologies in new generation optical networks. 223-226 - Justin Pauckert, Mayowa Ayodele, Marcos Díez García, Serban Georgescu, Matthieu Parizy:
AutoQUBO v2: Towards Efficient and Effective QUBO Formulations for Ising Machines. 227-230 - Adrian Petrovan, Petrica C. Pop, Cosmin Sabo, Oliviu Matei:
A Diploid Genetic Algorithm for Solving the Multidimensional Multi-way Number Partitioning Problem. 231-234 - Roberto Pietrantuono:
An Evolutionary Strategy for Automatic Hypotheses Generation inspired by Abductive Reasoning. 235-238 - Milan Predojevic, Aleksandar Kartelj, Marko Djukanovic:
Variable neighborhood search for solving the k-domination problem. 239-242 - Elisa Schmidt, Matthias Becker:
Training Agents for Unknown Logistics Problems. 243-246 - Sara Tari, Gabriela Ochoa, Matthieu Basseur, Sébastien Vérel:
On the Global Structure of PUBOi Fitness Landscapes. 247-250 - Cong Dao Tran, Anh Do Tuan, Huynh Thi Thanh Binh, Duc Anh Do, Ha-Bang Ban, Su Nguyen:
MNDE: Node-depth encoding can do better in evolutionary multitask algorithms. 251-254 - Shuaixiang Zhang, Hao Tong, Jialin Liu, Xin Yao:
Generate Competitive Solutions for Uncapacitated Facility Location Problem by Learning from Small Instances. 255-258 - Fangfang Zhang, Yi Mei, Mengjie Zhang:
An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic Programming. 259-262
Poster Session: Evolutionary Machine Learning
- Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar:
Designing Convolutional Neural Networks using Surrogate assisted Genetic Algorithm for Medical Image Classification. 263-266 - Mohammed Walid Attaoui, Hanene Azzag, Mustapha Lebbah:
Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization. 267-270 - Victor Costa, Nuno Lourenço, João Correia, Penousal Machado:
Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution Strategies. 271-274 - Chuanshuai Deng, Chenjing Zhao, Zhenghui Liu, Jiexin Zhang, Yunlong Wu, Yanzhen Wang, Hong Cheng, Xiaodong Yi:
Learning Behavior Trees by Evolution-Inspired Approaches. 275-278 - Arno Feiden, Jochen Garcke:
Overcoming Deceptive Rewards with Quality-Diversity. 279-282 - Adam Handke, Damian Józwiak, Piotr Kaminski, Michal Wisniewski, Milosz Kadzinski:
Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examples. 283-286 - Olena Horokh, Martin Böhm, Thomas Schmid:
A Parallelized Genitor II Implementation For Training Semiring Neural Networks. 287-290 - Krzysztof Jurczuk, Marcin Czajkowski, Marek Kretowski:
From Random Forest to an interpretable decision tree - An evolutionary approach. 291-294 - Andrei Kucharavy, Matteo Monti, Rachid Guerraoui, Ljiljana Dolamic:
Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search. 295-298 - Yi Liu, Yu Cui, Will N. Browne, Bing Xue, Wen Cheng, Yong Li, Lingfang Zeng:
Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems. 299-302 - Bowen Liu, Edna Milgo, Nixon K. Ronoh, Bernard Manderick:
Comparison of MCMC Adaptation Schemes: A Preliminary Empirical Study. 303-306 - José David Martín-Fernández, Beatriz Pontes, José C. Riquelme:
Simultaneous Evolutionary Optimization of Features Subset and Clusters Number. 307-310 - Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov:
Assessing the Generalizability of a Performance Predictive Model. 311-314 - Robbert Reijnen, Yingqian Zhang, Zaharah Allah Bukhsh, Mateusz Guzek:
Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems. 315-318 - Guillermo Ripa, Agustín Mautone, Andrés Vidal, Sergio Nesmachnow, Jamal Toutouh:
Multiobjective coevolutionary training of Generative Adversarial Networks. 319-322 - Abubakar Siddique, Muhammad Iqbal, Shahab Ud Din, Will N. Browne:
Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image Classification. 323-326 - Sean Soleyman, Joshua Fadaie, Fan H. Hung, Deepak Khosla:
Evolution Strategies with Seed Mirroring and End Tournament. 327-330 - Anmol Surhonne, Florian Maurer, Thomas Wild, Andreas Herkersdorf:
LCT-DER: Learning Classifier Table with Dynamic-Sized Experience Replay for Run-time SoC Performance-Power Optimization. 331-334 - Fumito Uwano, Will N. Browne:
Hierarchical Frames-of-References in Learning Classifier Systems. 335-338 - Weronika Wegier, Michal Koziarski, Michal Wozniak:
Optimized hybrid imbalanced data sampling for decision tree training. 339-342 - Connor Yates, Kagan Tumer:
Knowledge Shaped Behavior Generation for Online Adaptation. 343-346 - Tianyi Zhou, Wei Fang:
Two-point Crossover Operator in Genetic Algorithm for Deep Learning Compiler. 347-350 - Weiyi Zuo, Joachim Winther Pedersen, Sebastian Risi:
Evolution of an Internal Reward Function for Reinforcement Learning. 351-354
Poster Session: Evolutionary Multiobjective Optimization
- Tobias Benecke, Oliver Antons, Sanaz Mostaghim, Julia C. Arlinghaus:
A Generalized Circular Supply Chain Problem for Multi-objective Evolutionary Algorithms. 355-358 - James Chao, Lance Nakamoto:
Mastering Stochastic Partially Observable Asymmetrical Multi-Agent Game with Rolling Horizon Evolution Algorithm. 359-362 - Runxin Han, Junqing Li, Xiumei Xiao:
Multi-Objective Artificial Bee Colony for Assembly Flexible Job Shop with Transportation and Setup Times. 363-366 - Daniel Herring, Michael Kirley, Xin Yao:
An Iterative Machine Learning Approach to Informative Performance Reporting in Dynamic Multi-Objective Optimization. 367-370 - Andrzej Jaszkiewicz, Piotr Zielniewicz:
On-line Quick Hypervolume Algorithm. 371-374 - Yuzi Jiang, Danilo Vasconcellos Vargas:
Curious-II: A Multi/Many-Objective Optimization Algorithm with Subpopulations based on Multi-novelty Search. 375-378 - Miguel León Ortiz, Tijana Markovic, Sasikumar Punnekkat:
Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data. 379-382 - Zimin Liang, Miqing Li, Per Kristian Lehre:
Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle Results. 383-386 - Zhiming Lv, Shuqin Li, Hongguang Sun, Hongming Zhang:
Multi-Surrogate Assisted PSO with Multiple Exemplars for Expensive Multimodal Multi-Objective Optimization. 387-390 - Yi Mao, Jingjing Li, Na Tang:
A Cluster-Based Multiobjective Optimization Algorithm for VRPSTW with Salary Balance. 391-394 - Krzysztof Michalak, Mario Giacobini:
Evolutionary Neural Networks for Livestock Disease Prevention. 395-398 - Yusuke Nojima, Yuto Fujii, Naoki Masuyama, Yiping Liu, Hisao Ishibuchi:
A Decomposition-based Multi-modal Multi-objective Evolutionary Algorithm with Problem Transformation into Two-objective Subproblems. 399-402 - Feiyue Qiu, Huizhen Hu, Jin Ren, Liping Wang, Qicang Qiu:
An adaptive sparse large-scale multiobjective evolutionary algorithm. 403-406 - Markus Rothkötter, Sanaz Mostaghim:
A Preference-based Activity Scheduling Algorithm Using Many-objective Optimization. 407-410 - Yuji Sato, Mads A. Midtlyng, Mikiko Sato:
Diffusely Distributed Parallelization of MOEA/D with Edge Weight Vectors Sharing. 411-414 - Michele Urbani, Francesco Pilati:
A multi-policy sequence-based selection hyper-heuristic for multi-objective optimization. 415-418 - Shiting Wang, Jin-Hua Zheng, Juan Zou, Yuan Liu, Sheng-Xiang Yang, Yingjie Zou:
A Fuzzy Decision Variables Framework Based on Directed Sampling for Large-scale Multiobjective Optimization. 419-422 - Kai Eivind Wu, George Panoutsos:
High Dimensional Many Objective Optimisation through Diverse Creation and Categorisation of Reference Vectors. 423-426 - Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling. 427-430 - Mouadh Yagoubi, Hiba Bederina:
Surrogate-Assisted NSGA-II Algorithm for Expensive Multiobjective Optimization. 431-434 - Yusuke Yasuda, Kenichi Tamura, Keiichiro Yasuda:
Extending MOEA/D to Constrained Multi-objective Optimization via Making Constraints an Objective Function. 435-438
Poster Session: Evolutionary Numerical Optimization
- Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller:
Evolutionary Algorithms for Segment Optimization in Vectorial GP. 439-442 - Jakub Kudela, Martin Jurícek:
Computational and Exploratory Landscape Analysis of the GKLS Generator. 443-446 - Kei Nishihara, Masaya Nakata:
Utilizing the Expected Gradient in Surrogate-assisted Evolutionary Algorithms. 447-450 - Raphael Patrick Prager, Heike Trautmann:
Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems. 451-454 - Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova:
Deep BIAS: Detecting Structural Bias using Explainable AI. 455-458
Poster Session: Genetic Algorithms
- Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski:
Optimization of MFCCs for Time Signature Detection Using Genetic Algorithm. 459-462 - Minghao Chen, Shuai Wang, Shun Cai:
Solving the Multitasking Robust Influence Maximization Problem on Networks using a Multi-factorial Evolutionary Algorithm. 463-466 - Mia Gerber, Nelishia Pillay:
Automated algorithm composition of unsupervised image clustering algorithms. 467-470 - Bo-Wei Huang, Wen Zhong Fang, Hsu Chen Liao, Tian-Li Yu:
Relational Bayesian Optimization for Permutation. 471-474 - José Quevedo, Maximilian Jakob Heer, Marwan F. Abdelatti, Resit Sendag, Manbir Sodhi:
Performance Comparison of Steady State GAs and Generational GAs for Capacitated Vehicle Routing Problems. 475-478 - Victor Manuel Sanchez Sanchez, Carlos Gershenson García, Carlos Ignacio Hernandez Castellanos:
On the Effect of Temporal Heterogeneity on Selection Pressure of Evolutionary Algorithms. 479-482
Poster Session: Genetic Evolutionary Computation and Hybrids
- Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer:
Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. 483-486 - Arnaud Berny:
An information-theoretic evolutionary algorithm. 487-490 - Maciej Komosinski, Konrad Miazga:
Revealing the Inner Dynamics of Evolutionary Algorithms with Convection Selection. 491-494 - Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr:
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. 495-498 - Ryan Dieter Lang, Andries Petrus Engelbrecht:
Performance Analysis of Hybrid Sampling and Meta-heuristics. 499-502 - Alexandre Mascarenhas, Yuri Cossich Lavinas, Claus Aranha:
AbCD: A Component-wise Adjustable Framework for Dynamic Optimization Problems. 503-506 - Ole Jakob Mengshoel, Xavier F. C. Sánchez-Díaz, Fredrik Foss:
Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal Optimization. 507-510 - Jair Pereira Junior, Claus Aranha:
Re-Evaluating Algorithm Variations Using Empirical Similarity. 511-514 - Bas van Stein, Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck:
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis. 515-518 - Markus Wagner, Erik Kohlros, Gerome Quantmeyer, Timo Kötzing:
ELEA - Build your own Evolutionary Algorithm in your Browser. 519-522
Poster Session: Genetic Programming
- Marko Durasevic, Mateja Dumic, Rebeka Coric, Francisco Javier Gil Gala:
Automated design of relocation rules for minimising energy consumption in the container relocation problem. 523-526 - Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania, Lee Spector, Alexander Lalejini:
The Problem Solving Benefits of Down-sampling Vary by Selection Scheme. 527-530 - Ryan Boldi, Alexander Lalejini, Thomas Helmuth, Lee Spector:
A Static Analysis of Informed Down-Samples. 531-534 - Martin Briesch, Dominik Sobania, Franz Rothlauf:
On the Trade-Off between Population Size and Number of Generations in GP for Program Synthesis. 535-538 - Karina Brotto Rebuli, Mario Giacobini, Sara Silva, Leonardo Vanneschi:
A Comparison of Structural Complexity Metrics for Explainable Genetic Programming. 539-542 - Chi-Hsien Chang, Tu-Chin Chiang, Tzu-Hao Hsu, Ting-Shuo Chuang, Wen Zhong Fang, Tian-Li Yu:
Taylor Polynomial Enhancer using Genetic Programming for Symbolic Regression. 543-546 - Darren M. Chitty, Ed Keedwell:
Phased Genetic Programming for Application to the Traveling Salesman Problem. 547-550 - Fabrício Olivetti de França:
Fighting Underspecification in Symbolic Regression with Fitness Sharing. 551-554 - Allan de Lima, Samuel Carvalho, Douglas Mota Dias, Joseph P. Sullivan, Conor Ryan:
Leap Mapping: Improving Grammatical Evolution for Modularity Problems. 555-558 - Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic:
Does size matter? On the influence of ensemble size on constructing ensembles of dispatching rules. 559-562 - Wen Zhong Fang, Chi-Hsien Chang, Jung-Chun Liu, Tian-Li Yu:
GP with Ranging-Binding Technique for Symbolic Regression. 563-566 - Kei Sen Fong, Mehul Motani:
DistilSR: A Distilled Version of Gene Expression Programming Symbolic Regression. 567-570 - Mia Gerber, Nelishia Pillay:
An analysis of choice functions for Fuzzy ART using grammatical evolution. 571-574 - Francisco Javier Gil Gala, Marko Durasevic, Mateja Dumic, Rebeka Coric, Domagoj Jakobovic:
An analysis of training models to evolve heuristics for the travelling salesman problem. 575-578 - Nikola Gligorovski, Jinghui Zhong:
LGP-VEC: A Vectorial Linear Genetic Programming for Symbolic Regression. 579-582 - Po-Wei Harn, Bo Hui, Sai Deepthi Yeddula, Libo Sun, Min-Te Sun, Wei-Shinn Ku:
A Novel Quadtree-Based Genetic Programming Search for Searchable Encryption Optimization. 583-586 - Nathan Haut, Bill Punch, Wolfgang Banzhaf:
Active Learning Informs Symbolic Regression Model Development in Genetic Programming. 587-590 - Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck:
Towards a General Boolean Function Benchmark Suite. 591-594 - Rahul Kapoor, Nelishia Pillay:
Iterative Structure-Based Genetic Programming for Neural Architecture Search. 595-598 - Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie, Jason H. Moore:
Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors. 599-602 - Mikhail Maslyaev, Alexander Hvatov:
Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery. 603-606 - Aidan Murphy, Allan de Lima, Douglas Mota Dias, Conor Ryan:
Error and Correlation as fitness functions for Scaled Symbolic Regression in Grammatical Evolution. 607-610 - Jessica Mégane, Nuno Lourenço, Penousal Machado, Dirk Schweim:
The Influence of Probabilistic Grammars on Evolution. 611-614 - Dinesh Parthasarathy, Jonas Schmitt, Harald Köstler:
Evolving Nonlinear Multigrid Methods With Grammar-Guided Genetic Programming. 615-618 - Gloria Pietropolli, Federico Julian Camerota Verdù, Luca Manzoni, Mauro Castelli:
Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent. 619-622 - Jesús Quesada, Francisco Javier Gil Gala, Marko Durasevic, María R. Sierra, Ramiro Varela:
An analysis of heuristic templates in Genetic Programming for one-dimensional cutting and packing problems. 623-626 - Nuno Miguel Rodrigues, José G. de Almeida, Sara Silva:
Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming. 627-630 - Jeffrey Russell, Nelishia Pillay:
A Selection Hyper-Heuristic for Transfer Learning in Genetic Programming. 631-634
Poster Session: Neuroevolution
- Jakub Chlebik, Jirí Jaros:
Evolutionary Optimization of a Focused Ultrasound Propagation Predictor Neural Network. 635-638 - Konstantinos Christou, Chris Christodoulou, Vassilis Vassiliades:
Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important. 639-642 - Andrea Ferigo, Giovanni Iacca:
Self-Building Neural Networks. 643-646 - Alessandro Giovagnoli, Volker Tresp, Yunpu Ma, Matthias Schubert:
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture. 647-650 - Kade Heckel:
Neuroevolution for Autonomous Cyber Defense. 651-654 - Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang:
Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation. 655-658 - Robert Tjarko Lange:
evosax: JAX-Based Evolution Strategies. 659-662 - Maximilien Le Clei, Pierre Bellec:
Generative Adversarial Neuroevolution for Control Behaviour Imitation. 663-666 - Marcel Merten, Rune Krauss, Rolf Drechsler:
Scalable Neuroevolution of Ensemble Learners. 667-670 - Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher W. Cleghorn:
Augmentative Topology Agents For Open-Ended Learning. 671-674 - Yukai Qiao, Marcus Gallagher:
Modularity Based Linkage Model For Neuroevolution. 675-678 - Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano:
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. 679-682 - Xinming Shi, Zilu Wang, Leandro L. Minku, Xin Yao:
Explaining Memristive Reservoir Computing Through Evolving Feature Attribution. 683-686 - Shang Wang, Huanrong Tang, Jianquan Ouyang:
A Neural Architecture Search Method using Auxiliary Evaluation Metric based on ResNet Architecture. 687-690 - Shang Wang, Huanrong Tang, Jianquan Ouyang:
A Transformer-based Neural Architecture Search Method. 691-694 - Tim Whitaker, Darrell Whitley:
Sparse Mutation Decompositions: Fine Tuning Deep Neural Networks with Subspace Evolution. 695-698 - Ryan Wickman, Bibek Poudel, Michael Villarreal, Xiaofei Zhang, Weizi Li:
Efficient Quality-Diversity Optimization through Diverse Quality Species. 699-702 - Ryan Zhou, Ting Hu:
Evolving Better Initializations For Neural Networks With Pruning. 703-706
Poster Session: Real World Applications
- Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. 707-710 - Darren M. Chitty, James Lewis, Ed Keedwell:
An Adaptive Sequence-Based Selection Hyper-Heuristic for Application to Electric Bus Scheduling. 711-714 - Ha Hyun Cho, Han Joon Byun, Min Kee Kim, Joon Huh, Byung-Ro Moon:
Evolutionary Pruning of Deep Convolutional Networks by a Memetic GA with Sped-Up Local Optimization and GLCM Energy Z-Score. 715-718 - Carlos A. Coello Coello, Marko Durasevic, Domagoj Jakobovic, Marina Krcek, Luca Mariot, Stjepan Picek:
Modeling Strong Physically Unclonable Functions with Metaheuristics. 719-722 - Lewis Hotchkiss, Alma A. M. Rahat:
Addressing the Health Versus Economy Dilemma in Data-Driven Policymaking During a Pandemic. 723-726 - Piotr Kaszuba, Andrew Turner, Bartosz Mikulski, Nl Shasha Jumbe, Andreas Schuh, Michael Morimoto, Peter Rexelius, Ryan Hafen, Ron Deiotte, Kevin Hammond, Jerry Swan, Krzysztof Krawiec:
Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis. 727-730 - Kevin Lagos, Andrés Navarro, Felipe Dumont, María Cristina Riff:
Decision Trees+Evolutionary Algorithm for Predict then Optimize. 731-734 - Christian Lins, Erik Berwald, Andreas Klausen, Andreas Hein, Sebastian J. F. Fudickar:
EA-based smartwatch application for training and assistance in cardiopulmonary resuscitation. 735-738 - Zheping Liu, Andy Song, Nasser R. Sabar, Takero Izuhara, A. Kai Qin:
Evolution Enhancing Property Price Prediction by Generating Artificial Transaction Data. 739-742 - Martin Masek, Luke Kelly, Jacob Snell, Daniel Wheat, Chiou Peng Lam:
Interactive Evolutionary Computation for Strategy Discovery in Multi-Phase Operations. 743-746 - Jon McCormack, Camilo Cruz Gambardella, Stephen James Krol:
Creative Discovery using Qality-Diversity Search. 747-750 - Pablo Moscato, Rafael Bartnik Grebogi:
Approximating the Boundaries of Unstable Nuclei Using Analytic Continued Fractions. 751-754 - Rafael Poppenborg, Kaleb Phipps, Hatem Khalloof, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer:
Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling. 755-758 - Janina Schreiber, Damar Wicaksono, Michael Hecht:
Minimizing Black Boxes due to Polynomial-Model-Based Optimization. 759-762 - Wooseok Song, Chang Wook Ahn:
Interactive GA Approach for Video Digest Suggestion. 763-766 - Christian Stippel, Benjamin Schwendinger, Michael Kammerhofer, Ralph Hoch, Hermann Kaindl, Thilo Sauter:
Towards Optimized Schedules for Charging Electric Vehicles on Austrian Highways using Genetic Algorithms. 767-770 - Daniel H. Stolfi, Grégoire Danoy:
Spacecraft Swarm Orbital Formation Optimisation Using Evolutionary Techniques. 771-774 - Will Thompson, Alex Freidrichsen, Christopher M. Danforth, Peter Sheridan Dodds, Nicholas Cheney:
Evolving Robust Facility Placements. 775-778 - Takwa Tlili, Saoussen Krichen:
Energy-aware metaheuristic for virtual machine placement towards a green cloud computing. 779-782 - Eléonore Vissol-Gaudin, Yee-Fun Lim, Kedar Hippalgaonkar:
Optimising Ferroelectric Thin Films with Evolutionary Computation. 783-786 - Kamer Ali Yuksel:
Generative Meta-Learning Robust Quality-Diversity Portfolio. 787-790
Poster Session: Search-Based Software Engineering
- Thi-Mai-Anh Bui, Quoc-Trung Bui, Van-Tri Do:
A Novel Fitness Function for Automated Software Test Case Generation Based on Nested Constraint Hardness. 791-794 - Felix Günther Gemeinhardt, Stefan Klikovits, Manuel Wimmer:
Hybrid Multi-Objective Genetic Programming for Parameterized Quantum Operator Discovery. 795-798 - William B. Langdon, Justyna Petke, Aymeric Blot, David Clark:
Genetically Improved Software with fewer Data Cache Misses. 799-802 - Marek Sedlacek, Lukás Sekanina:
Evolution of Editing Scripts From Examples. 803-806
Poster Session: Theory
- Thimershen Achary, Anban W. Pillay, Edgar Jembere:
A New Metaheuristic-Algorithm Similarity Measure Using Signal Flow Diagrams. 807-810 - Yurdusev Yakup Akan, J. Michael Herrmann:
Stability, Entropy and Performance in PSO. 811-814 - Yiya Diao, Changhe Li, Sanyou Zeng, Shengxiang Yang:
Nearest better network for visualization of the fitness landscape. 815-818 - Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Shishen Lin:
Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation. 819-822 - Xiaoyue Li, Timo Kötzing:
Experimental Analyses of Crossover and Diversity on Jump. 823-826 - Shakiba Shahbandegan, Emily L. Dolson:
Theoretical Limits on the Success of Lexicase Selection Under Contradictory Objectives. 827-830 - Ruizhe Zhou, Jinghui Zhong:
A Comprehensive Pragmatic Investigation of Batched Acquisition Functions in Bayesian Optimization. 831-834
Tutorial Session: Introductory Tutorials
- Carlos Henggeler Antunes, Maria João Alves:
Single and Multi-Objective Bilevel Optimization. 835-853 - Anne Auger, Nikolaus Hansen:
An Introduction to Scientific Experimentation and Benchmarking. 854-877 - Hans-Georg Beyer:
What You Always Wanted to Know About Evolution Strategies, But Never Dared to Ask. 878-894 - Ivo Couckuyt, Sebastian Rojas-Gonzalez, Jürgen Branke, Bernd Bischl:
Bayesian Optimization. 895-912 - Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux:
Quality-Diversity Optimization. 913-937 - Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye:
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. 938-945 - Benjamin Doerr:
A Gentle Introduction to Theory (for Non-Theoreticians). 946-975 - William George La Cava, Thomas Helmuth:
Lexicase Selection. 976-989 - Pascal Kerschke, Mike Preuss:
Exploratory Landscape Analysis. 990-1007 - Risto Miikkulainen:
Evolution of Neural Networks. 1008-1025 - Una-May O'Reilly, Erik Hemberg:
Genetic Programming: A Tutorial Introduction. 1026-1036 - Nelishia Pillay:
Transfer Learning in Evolutionary Spaces. 1037-1047 - Franz Rothlauf:
Representations for Evolutionary Algorithms. 1048-1068 - Daniel R. Tauritz, John R. Woodward:
Generative Hyper-heuristics. 1069-1098 - Dirk Thierens, Peter A. N. Bosman:
Model-Based Evolutionary Algorithms. 1099-1128 - Bing Xue, Mengjie Zhang:
Evolutionary Computation for Feature Selection and Feature Construction. 1129-1156
Tutorial Session: Advanced Tutorials
- Youhei Akimoto, Nikolaus Hansen:
CMA-ES and Advanced Adaptation Mechanisms. 1157-1182 - Dimo Brockhoff, Tea Tusar:
GECCO 2023 Tutorial on Benchmarking Multiobjective Optimizers 2.0. 1183-1212 - Alexander E. I. Brownlee, Saemundur O. Haraldsson, John R. Woodward:
Genetic Improvement: Taking real-world source code and improving it using computational search methods. 1213-1247 - Carlos Artemio Coello Coello:
Constraint-Handling Techniques used with Evolutionary Algorithms. 1248-1270 - Per Kristian Lehre, Pietro Simone Oliveto:
Runtime Analysis of Population-based Evolutionary Algorithms - Part I: Steady State EAs. 1271-1300 - Abubakar Siddique, Will N. Browne, Ryan J. Urbanowicz:
Modern Applications of Evolutionary Rule-based Machine Learning. 1301-1330 - Dirk Sudholt, Giovanni Squillero:
Theory and Practice of Population Diversity in Evolutionary Computation. 1361-1378 - Jamal Toutouh, Una-May O'Reilly:
Coevolutionary Computation for Adversarial Deep Learning. 1379-1398
Tutorial Session: Specialized Tutorials
- Dario Izzo, Manuel López-Ibáñez:
Optimization Challenges at the European Space Agency. 1399-1415 - Katherine M. Malan, Gabriela Ochoa:
Landscape Analysis of Optimization Problems and Algorithms. 1416-1432 - Alberto Moraglio, Francisco Chicano:
Introduction to Quantum Optimization. 1433-1462 - Frank Neumann, Aneta Neumann, Hemant K. Singh:
Evolutionary computation for stochastic problems. 1463-1476 - Mohammad Nabi Omidvar, Yuan Sun, Xiaodong Li:
Large-Scale Optimization and Learning. 1477-1502 - Darrell Whitley:
Evolutionary Computation and Tunneling at the Edge of Quantum Computing. 1503-1532 - Mengjie Zhang, Stefano Cagnoni:
Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition. 1533-1561
Workshop Analysing Algorithmic Behaviour of Optimisation Heuristics
- Lauren Hayward, Andries P. Engelbrecht:
How to Tell a Fish from a Bee: Constructing Meta-Heuristic Search Behaviour Characteristics. 1562-1569 - Eric O. Scott, Kenneth A. De Jong:
Initialization Matters for Asynchronous Steady-State Evolutionary Algorithms. 1570-1578 - Ofer M. Shir, Michael Emmerich:
On the Behavior of the Mixed-Integer SMS-EMOA on Box-Constrained Quadratic Bi-Objective Models. 1579-1586
Workshop Black Box Optimization Benchmarking
- Dimo Brockhoff, Pascal Capetillo, Jonathan Hornewall, Raphael Walker:
Benchmarking the Borg algorithm on the Biobjective bbob-biobj Testbed. 1587-1594 - Óscar Espinoza, Katya Rodríguez-Vázquez, Carlos Ignacio Hernández Castellanos, Suemi Rodríguez-Romo:
Comparison Of Three Versions Of Whale Optimization Algorithm (WOA) On The Bbob Test Suite. 1595-1602 - Armand Gissler:
Evaluation of the impact of various modifications to CMA-ES that facilitate its theoretical analysis. 1603-1610 - Victoria Johnson, João A. Duro, Visakan Kadirkamanathan, Robin C. Purshouse:
A distributed multi-disciplinary design optimization benchmark test suite with constraints and multiple conflicting objectives. 1611-1619 - Jakub Kudela:
Benchmarking State-of-the-art DIRECT-type Methods on the BBOB Noiseless Testbed. 1620-1627 - Tristan Marty, Yann Semet, Anne Auger, Sébastien Héron, Nikolaus Hansen:
Benchmarking CMA-ES with Basic Integer Handling on a Mixed-Integer Test Problem Suite. 1628-1635
Workshop Keep Learning
- Emma Hart, Ian Miguel, Christopher Stone, Quentin Renau:
Towards optimisers that 'Keep Learning'. 1636-1638 - Amit Dilip Kini, Swaraj Sambhaji Yadav, Aditya Shankar Thakur, Akshar Bajrang Awari, Zimeng Lyu, Travis Desell:
Co-evolving Recurrent Neural Networks and their Hyperparameters with Simplex Hyperparameter Optimization. 1639-1647
Workshop Evolutionary Computation and Explainable AI
- Martin Fyvie, John McCall, Lee A. Christie, Alexander E. I. Brownlee:
Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis. 1648-1656 - David Pätzel, Michael Heider, Jörg Hähner:
Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms. 1657-1662 - Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, Daan van den Berg:
From Fitness Landscapes to Explainable AI and Back. 1663-1667
Workshop Evolutionary Computation and Decision Making
- José Almeida, Fernando Lezama, João P. Soares, Leonardo H. Macedo, Zita Vale, Rubén Romero:
Metaheuristic Optimization for Transmission Network Expansion Planning: Testebed 2 of the Competition on Evolutionary Computation in the Energy Domain. 1668-1675 - Boris Djartov, Sanaz Mostaghim:
Multi-objective Multiplexer Decision Making Benchmark Problem. 1676-1683 - Farzaneh Jouyandeh, Pooya Moradian Zadeh:
Personalized Group Itinerary Recommendation using a Knowledge-based Evolutionary Approach. 1684-1692 - Giomara Lárraga, Kaisa Miettinen:
Component-based thinking in designing interactive multiobjective evolutionary methods. 1693-1702 - Bhupinder Singh Saini, Giomara Lárraga, Kaisa Miettinen:
Using a Database to Support Interactive Multiobjective Optimization, Visualization, and Analysis. 1703-1711
Workshop Evolutionary Computation for the Automated Design of Algorithms
- Darren M. Chitty, James Lewis, Ed Keedwell:
Using a Parallel Ensemble of Sequence-Based Selection Hyper-Heuristics for Electric Bus Scheduling. 1712-1720 - Gabriel Kopito, Jonathan Schwartz, Julien Amblard, Robert Filman, Landon Rabern:
MLStar: A System for Synthesis of Machine-Learning Programs. 1721-1726 - Weiyao Meng, Rong Qu:
Sequential Rule Mining for Automated Design of Meta-heuristics. 1727-1735 - Vladimir Stanovov, Eugene Semenkin:
Genetic Programming for Automatic Design of Parameter Adaptation in Dual-Population Differential Evolution. 1736-1743 - Yunshuang Xiao, Leslie Pérez Cáceres, Manuel López-Ibáñez, Thomas Stützle:
Algorithm Configuration via Continuously Racing: Preliminary Results. 1744-1752
Workshop Enhancing Generative Machine Learning with Evolutionary Computation
- Kehinde O. Babaagba, Jordan Wylie:
An Evolutionary based Generative Adversarial Network Inspired Approach to Defeating Metamorphic Malware. 1753-1759 - Luana Clare, João Correia:
Generating Adversarial Examples through Latent Space Exploration of Generative Adversarial Networks. 1760-1767 - Jairo Correa, Jimena Mignaco, Gonzalo Rey, Benjamín Machín, Sergio Nesmachnow, Jamal Toutouh:
Multiobjective evolutionary search of the latent space of Generative Adversarial Networks for human face generation. 1768-1776 - Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Analyzing the interplay between transferable GANs and gradient optimizers. 1777-1784
Workshop Swarm Intelligence Algorithms: Foundations, Perspectives and Challenges
- Hubert Guzowski, Maciej Smolka:
Configuring a Hierarchical Evolutionary Strategy Using Exploratory Landscape Analysis. 1785-1792 - Nazrul Islam, John Oyekan:
An Improved Hybrid Multi-Objective Particle Swarm Optimization to Enhance Convergence and Diversity. 1793-1802 - Marcela Matusikova, Michal Pluhacek, Tomas Kadavy, Adam Viktorin, Roman Senkerik:
Exploring Adaptive Components of SOMA. 1803-1811 - Michal Pluhacek, Anezka Kazikova, Tomas Kadavy, Adam Viktorin, Roman Senkerik:
Leveraging Large Language Models for the Generation of Novel Metaheuristic Optimization Algorithms. 1812-1820 - Roman Senkerik, Tomas Kadavy, Peter Janku, Michal Pluhacek, Hubert Guzowski, Libor Pekar, Radek Matusu, Adam Viktorin, Maciej Smolka, Aleksander Byrski, Zuzana Komínková Oplatková:
Maximizing Efficiency: A Comparative Study of SOMA Algorithm Variants and Constraint Handling Methods for Time Delay System Optimization. 1821-1829
Workshop 26th International Workshop on Evolutionary Rule-Based Machine Learning
- Sooraj K. Babu, Tim Schneider, Sebastian von Mammen:
User-centred Design and Development of a Graphical User Interface for Learning Classifier Systems. 1830-1837 - Romain Orhand, Pierre Collet, Pierre Parrend, Anne Jeannin-Girardon:
CRACS: Compaction of Rules in Anticipatory Classifier Systems. 1838-1845 - Ryan J. Urbanowicz, Harsh Bandhey, Malek Kamoun, Nolan Fogarty, Yi-An Hsieh:
Scikit-FIBERS: An 'OR'-Rule Discovery Evolutionary Algorithm for Risk Stratification in Right-Censored Survival Analyses. 1846-1854
Workshop Evolutionary Computation Software Systems
- Taha Arbaoui, Mohamed Elamine Athmani, Mohammed Henni, Akram Badreddine Laissaoui, Mourad Terzi:
PyScheduling: an Extensible and User-Friendly Python Framework for Scheduling Problems. 1855-1863 - Anton Bouter, Peter A. N. Bosman:
A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA. 1864-1872 - Maxim Buzdalov:
Improving Time and Memory Efficiency of Genetic Algorithms by Storing Populations as Minimum Spanning Trees of Patches. 1873-1881 - Deacon Seals, Robert Wilkes, Daniel R. Tauritz:
Maelstrom: An Accelerator-compatible GP Framework. 1882-1890 - Thomas Weise, Zhize Wu:
Replicable Self-Documenting Experiments with Arbitrary Search Spaces and Algorithms. 1891-1899 - Jonathan Wurth, Helena Stegherr, Michael Heider, Leopold Luley, Jörg Hähner:
Fast, Flexible, and Fearless: A Rust Framework for the Modular Construction of Metaheuristics. 1900-1909
Workshop Graph-Based Genetic Programming
- Julien Amblard, Robert Filman, Gabriel Kopito:
GPStar4: A flexible framework for experimenting with genetic programming. 1910-1915 - Maziar Kanani, Seán O'Leary, James McDermott:
Graph-Based Mutations for Music Generation. 1916-1919 - Yuri Lavinas, Kévin Cortacero, Sylvain Cussat-Blanc:
Evolving Graphs with Cartesian Genetic Programming with Lexicase Selection. 1920-1924
Workshop Industrial Applications of Metaheuristics
- Andrea Bonomi, Evelyn Turri, Giovanni Iacca:
Evolutionary F1 Race Strategy. 1925-1932 - Luis Cordero, Brian Jaramillo-Leon, Jonatas Boas Leite, John F. Franco, José Almeida, Fernando Lezama, João P. Soares:
Probabilistic-based Optimization for PV Hosting Capacity with Confidence Interval Restrictions. 1933-1940 - Nikolaus Frohner, Günther R. Raidl, Francisco Chicano:
Multi-Objective Policy Evolution for a Same-Day Delivery Problem with Soft Deadlines. 1941-1949 - Iffat Jamil, Sanaz Mostaghim, Berend G. M. van Wachem, Victor Chéron, Max Hausmann:
Landscape Analysis of Multi-objective Control of Fluidized Beds. 1950-1955 - Hitomi Kano, Tomohiro Harada, Yukiya Miura, Masahiro Kanazaki:
Hybrid Rocket Engine Design Using Pairwise Ranking Surrogate-assisted Differential Evolution. 1956-1962 - Naru Okumura, Tomoaki Takagi, Yoshihiro Ohta, Hiroyuki Sato:
Pareto Front Upconvert on Multi-objective Building Facility Control Optimization. 1963-1971 - Cristiane Salgado Pereira, Douglas Mota Dias, Luis Martí, Marley M. B. R. Vellasco:
A Multi-Objective Decomposition Optimization Method for Refinery Crude Oil Scheduling through Genetic Programming. 1972-1980
Workshop Interactive Methods at GECCO
- Thomas Helmuth, James Gunder Frazier, Yuhan Shi, Ahmed Farghali Abdelrehim:
Human-Driven Genetic Programming for Program Synthesis: A Prototype. 1981-1989 - Yan Pei:
A comprehensive and brief survey on interactive evolutionary computation in sound and music composition for algorithmic auditory and acoustic design with human-in-the-loop. 1990-1996 - Juan Ungredda, Jürgen Branke:
When to Elicit Preferences in Multi-Objective Bayesian Optimization. 1997-2003
Workshop Grammatical Evolution Workshop - 25 Years of GE
- Amín V. Bernabé Rodríguez, Carlos A. Coello Coello:
Designing Scalarizing Functions Using Grammatical Evolution. 2004-2012 - Leon Ingelse, José Ignacio Hidalgo, José Manuel Colmenar, Nuno Lourenço, Alcides Fonseca:
Comparing Individual Representations in Grammar-Guided Genetic Programming for Glucose Prediction in People with Diabetes. 2013-2021 - Aidan Murphy, Nuno Lourenço, Anthony Ventresque:
Initialisation in Structured Grammatical Evolution. 2022-2028
Workshop Landscape-Aware Heuristic Search
- Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig:
Empirical Loss Landscape Analysis of Neural Network Activation Functions. 2029-2037 - Isobel Bosman, Anna Sergeevna Bosman, Katherine Mary Malan:
Quantifying and Visualizing the Sharpness of Attraction Basins in Neural Network Error Landscapes. 2038-2046 - Bruno Gasperov, Marko Durasevic, Domagoj Jakobovic:
A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties. 2047-2055 - Yifan He, Ferrante Neri:
Fitness Landscape Analysis of Genetic Programming Search Spaces with Local Optima Networks. 2056-2063 - Arnaud Liefooghe, Katherine Mary Malan:
Adaptive Landscape-aware Constraint Handling with Application to Binary Knapsack Problem. 2064-2071 - Paul Mitchell, Gabriela Ochoa, Romain Louis Chassagne:
Local Optima Networks of the Black Box Optimisation Benchmark Functions. 2072-2080 - Sophie Sadler, Alma A. M. Rahat, David Walker, Daniel Archambault:
Extrema Graphs: Fitness Landscape Analysis to the Extreme! 2081-2089 - James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell:
Genotype Diversity Measures for Escaping Plateau Regions in University Course Timetabling. 2090-2098 - Sarah L. Thomson, Nadarajen Veerapen, Gabriela Ochoa, Daan van den Berg:
Randomness in Local Optima Network Sampling. 2099-2107 - Bernhard Werth, Johannes Karder, Andreas Beham, Erik Pitzer, Kaifeng Yang, Stefan Wagner:
Walking through the Quadratic Assignment-Instance Space: Algorithm Performance and Landscape Measures. 2108-2114
Workshop Neuroevolution at Work
- Henrique Branquinho, Nuno Lourenço, Ernesto Costa:
SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks. 2115-2122 - Joshua Karns, Travis Desell:
Local Stochastic Differentiable Architecture Search for Memetic Neuroevolution Algorithms. 2123-2127 - Divya D. Kulkarni, Shivashankar B. Nair:
Transfer Learning for Embodied Neuroevolution. 2128-2135 - C. Shunmuga Velayutham, Sujit Subramanian S, Arvindram K, Madhusoodhan Sathya, Nathiyaa Sengodan, Divesh Kosuri, Sai Satvik Arvapalli, Thangavelu S, Jeyakumar Gurusamy:
EvoPrunerPool: An Evolutionary Pruner using Pruner Pool for Compressing Convolutional Neural Networks. 2136-2143 - Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong:
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. 2144-2151
Workshop on Quality Diversity Algorithm Benchmarks
- Ryan Boldi, Lee Spector:
Can the Problem-Solving Benefits of Quality Diversity Be Obtained without Explicit Diversity Maintenance? 2152-2156 - Manon Flageat, Luca Grillotti, Antoine Cully:
Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains. 2157-2162 - Luca Grillotti, Antoine Cully:
Kheperax: a Lightweight JAX-based Robot Control Environment for Benchmarking Quality-Diversity Algorithms. 2163-2165
Workshop Quantum Optimization
- Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Arnaud Liefooghe, Matthieu Parizy:
Applying Ising Machines to Multi-objective QUBOs. 2166-2174 - Marco Baioletti, Angelo Oddi, Riccardo Rasconi:
Solving Scheduling Problems with Quantum Computing: a Study on Flexible Open Shop. 2175-2178 - James Chao, Ramiro Rodriguez, Sean Crowe:
Quantum Enhancements for AlphaZero. 2179-2186 - Francisco Chicano, Zakaria Abdelmoiz Dahi, Gabriel Luque:
An Efficient QAOA via a Polynomial QPU-Needless Approach. 2187-2194 - Philippe Codognet:
Encoding the At-Most-One Constraint for QUBO and Quantum Annealing: Experiments with the N-Queens problem. 2195-2202 - Abhishek Dixit, A. Mani:
Quantum Entanglement inspired Differential Evolution algorithm. 2203-2210 - Thomas Gabor, Sebastian Zielinski, Sofie Henghuber, Claudia Linnhoff-Popien:
A Relative Approach to Comparative Performance Analysis for Quantum Optimization. 2211-2215 - Jesus Garcia Garcia, Pablo Galan Jativa:
Application of Quantum Annealing to Supply Chain Planning under Uncertainty. 2216-2223 - Camille Grange, Eric Bourreau, Michael Poss, Vincent T'kindt:
Quantum Speed-ups for Single-machine Scheduling Problems. 2224-2231 - Shu-Yu Kuo, Yun-Ting Lai, Yu-Chi Jiang, Ming-Ho Chang, Kun-Min Wu, Po-Chun Chen, Yu-Yu Chang, Yong Feng Tong, Yao-Hsin Chou:
Entanglement Local Search-Assisted Quantum-Inspired Optimization for Portfolio Optimization in G20 Markets. 2232-2240 - Justin Pauckert, Pieter Debevere, Matthieu Parizy, Mayowa Ayodele:
Comparing Solution Combination Techniques in Scatter Search for Quadratic Unconstrained Binary Optimization. 2241-2249 - Malak Saiem, Taha Arbaoui, Faicel Hnaien:
Solving the Flow-Shop Scheduling problem using Grover's Algorithm. 2250-2253 - Jonas Stein, Farbod Chamanian, Maximilian Zorn, Jonas Nüßlein, Sebastian Zielinski, Michael Kölle, Claudia Linnhoff-Popien:
Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA. 2254-2262 - Sebastian Zielinski, Jonas Nüßlein, Jonas Stein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld:
Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study. 2263-2271
Workshop Surrogate-Assisted Evolutionary Optimisation
- Alessio Benavoli, Dario Azzimonti, Dario Piga:
Bayesian Optimization For Choice Data. 2272-2279 - Hao Chen, Weikun Li, Zhenhua Wang, Weicheng Cui, Kai Sun:
A Robust Offline Data-Driven Evolutionary Optimization Algorithm for Solving Expensive Soft Pneumatic Actuator Design. 2280-2281 - Konrad Krawczyk, Jaroslaw Arabas:
JADE with k Nearest Neighbors Surrogate Model. 2282-2285 - Ioana Nikova, Tom Dhaene, Ivo Couckuyt:
Cost-Aware Active Learning for Feasible Region Identification. 2286-2288 - Christina Plump, Bernhard J. Berger, Rolf Drechsler:
Repetitive Processes and Their Surrogate-Model Congruent Encoding for Evolutionary Algorithms - A Theoretic Proposal. 2289-2296 - Pablo S. Naharro, José-María Peña, Antonio LaTorre:
Sequential Hybridization of Online Surrogate Models for Continuous Optimization. 2297-2303 - Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi:
Dynamic Fidelity Selection for Hyperparameter Optimization. 2304-2307 - Kaifeng Yang, Kai Chen, Michael Affenzeller, Bernhard Werth:
A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement. 2308-2317
Workshop Strict Box-Constraint Optimization Studies
- Dimo Brockhoff:
Comparing Boundary Handling Techniques of CMA-ES on the bbob and sbox-cost Test Suites. 2318-2325 - Konstantin Dietrich, Pascal Kerschke:
Evaluation of Algorithms from the Nevergrad Toolbox on the Strictly Box-Constrained SBOX-COST Benchmarking Suite. 2326-2329 - Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Exploring the Frequency of Boundary Control Methods Activation in Metaheuristic Algorithms. 2330-2336 - Madalina-Andreea Mitran, Anna V. Kononova, Fabio Caraffini, Daniela Zaharie:
Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite. 2337-2345 - Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova:
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. 2346-2353
Student Workshop
- Arthur Holtrup Bianchini, Brenda Silva Machado, Jônata Tyska Carvalho:
The Effectiveness of Niching on OpenAI-Evolution Strategies in the Evolution of Robotic Behavior. 2354-2357 - Lucas Fenaux, Thomas Humphries, Florian Kerschbaum:
Gaggle: Genetic Algorithms on the GPU using PyTorch. 2358-2361 - Kade Heckel:
Neuroevolutionary Compiler Control for Code Optimization. 2362-2365 - Yury Kaminsky, Irina Deeva:
LSevoBN: a structure learning algorithm for large Bayesian networks. 2366-2369 - Simon Naumov:
Empirical Analysis of Crossover-Based Evolutionary Algorithms on Rugged Landscape. 2370-2373 - Ozioma Paul, Julia Handl, Manuel López-Ibáñez:
Capacitated School Bus Routing Problem with Time Windows, Heterogeneous Fleets and Travel Assistants. 2374-2377 - Maxim Pikalov, Aleksei Pismerov:
Exploratory Landscape Analysis Based Parameter Control. 2378-2381 - Johannes Reiter, Dirk Schweim, David Wittenberg:
Pretraining Reduces Runtime in Denoising Autoencoder Genetic Programming by an Order of Magnitude. 2382-2385 - Luigi Rovito, Andrea De Lorenzo, Luca Manzoni:
Evolution of Walsh Transforms with Genetic Programming. 2386-2389 - Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr:
Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60. 2390-2393 - Hiroki Shimizu, Masashi Toyoda:
A Dynamic Partial Update for Covariance Matrix Adaptation. 2394-2397 - Saurav Shyju, Ritwik Murali:
ATLAS - A Co-evolutionary Framework for Automatic Tuning of Adversarial Neural Networks. 2398-2401
Workshop on Symbolic Regression
- Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira:
Priors for symbolic regression. 2402-2411 - Bogdan Burlacu:
GECCO'2022 Symbolic Regression Competition: Post-Analysis of the Operon Framework. 2412-2419 - Du Nguyen Duy, Michael Affenzeller, Ramin Nikzad-Langerodi:
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation. 2420-2428 - Daniel Younis, Thomas M. Antonsen Jr., Luke A. Johnson, Eric O. Scott, Dmitri Kaganovich, Bahman Hafizi:
Evolving Deformable Mirror Control to Generate Partially Coherent Light Fields. 2429-2437 - Leslie Pérez Cáceres, Manuel López-Ibáñez, Thomas Stützle:
Automated Algorithm Configuration and Design. 2438-2463
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-04 01:24 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
