default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGECCO 2021: Lille, France
- Krzysztof Krawiec:
GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France, July 10-14, 2021. ACM 2021, ISBN 978-1-4503-8351-6
Competition: Evolutionary computation in the energy domain: Smart grid applications
- Ansel Y. Rodríguez-González
, Samantha Barajas, Ramón Aranda, Yoan Martínez-López, Julio Madera Quintana:
Ring cellular encode-decode UMDA: simple is effective. 1-2 - Junpeng Su, Han Huang, Zhifeng Hao:
Cooperative co-evolution strategies with time-dependent grouping for optimization problems in smart grids. 3-4
Competition: Optimal camera placement problem (OCP) and the unicost set covering problem (USCP)
- Janez Radescek, Matjaz Depolli:
Exact and approximate USCP with branch and bound. 5-6
Competition: Open optimization competition 2021: Competition and benchmarking of sampling-based optimization algorithms
- Alexandros Doumanoglou, Nikolaos Zioulis, Vladimiros Sterzentsenko, Antonis Karakottas, Dimitrios Zarpalas, Petros Daras:
Benchmarking gradient-free optimizers for 3D performance capture in the nevergrad platform. 7-8 - Tome Eftimov, Peter Korosec:
Robust benchmarking for multi-objective optimization. 9-10
Competition: Bound constrained single objective numerical optimization
- Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
SOMA-CLP for competition on bound constrained single objective numerical optimization benchmark: a competition entry on bound constrained single objective numerical optimization at the genetic and evolutionary computation conference (GECCO) 2021. 11-12
Competition: Optimization of a simulation model for a capacity and resource planning task for hospitals under special consideration of the COVID-19 pandemic
- Laurens Bliek, Arthur Guijt, Rickard Karlsson:
Hospital simulation model optimisation with a random ReLU expansion surrogate model. 13-14 - Pablo S. Naharro, Antonio LaTorre, José-María Peña:
Surrogate-based optimisation for a hospital simulation scenario using pairwise classifiers. 15-16 - Jordi Pereira:
An evolutionary and neighborhood-based algorithm for optimization under low budget requirements. 17-18 - José L. Sainz-Pardo:
Linear regression strategy for differential evolution. 19-20
Hot off the press
- Shaukat Ali, Paolo Arcaini, Tao Yue:
Do quality indicators prefer particular multi-objective search algorithms in search-based software engineering?: (hot off the press track at GECCO 2021). 21-22 - Benjamin Doerr:
Runtime analysis via symmetry arguments: (hot-off-the-press track at GECCO 2021). 23-24 - Benjamin Doerr, Weijie Zheng:
Theoretical analyses of multi-objective evolutionary algorithms on multi-modal objectives: (hot-off-the-press track at GECCO 2021). 25-26 - Tome Eftimov, Peter Korosec:
Reducing bias in multi-objective optimization benchmarking. 27-28 - Anton V. Eremeev, Yulia V. Kovalenko:
Optimal recombination and adaptive restarts improve GA performance on the asymmetric TSP. 29-30 - William B. Langdon, Oliver Krauss:
Genetic improvement of data for maths functions. 31-32 - Thomas Laurent, Paolo Arcaini, Fuyuki Ishikawa, Anthony Ventresque:
Achieving weight coverage for an autonomous driving system with search-based test generation (HOP track at GECCO 2021). 33-34 - Michela Lorandi, Leonardo Lucio Custode, Giovanni Iacca:
Genetic improvement of routing in delay tolerant networks. 35-36 - Manuel López-Ibáñez, Juan Esteban Diaz:
Interactive parameter tuning of bi-objective optimisation algorithms using the empirical attainment function. 37-38 - Krzysztof Michalak, Mario Giacobini:
The influence of uncertainties on optimization of vaccinations on a network of animal movements. 39-40 - Michal Witold Przewozniczek, Piotr Dziurzanski, Shuai Zhao, Leandro Soares Indrusiak:
Multi-objective parameter-less population pyramid in solving the real-world and theoretical problems. 41-42 - Dirk Schweim, David Wittenberg, Franz Rothlauf:
On sampling error in evolutionary algorithms. 43-44 - Valerio Terragni, Gunel Jahangirova, Mauro Pezzè, Paolo Tonella:
Improving assertion oracles with evolutionary computation. 45-46 - Weijie Zheng, Huanhuan Chen, Xin Yao:
Analysis of evolutionary algorithms on fitness function with time-linkage property (hot-off-the-press track at GECCO 2021). 47-48
Late-breaking abstracts
- Dong-Hee Cho, Seung-Hyun Moon, Yong-Hyuk Kim:
An improved predictor of daily stock index based on a genetic filter. 49-50 - Niranjana Deshpande, Naveen Sharma:
Algorithm selection using transfer learning. 51-52 - Duarte M. Dias, Alexandre D. Jesus, Luís Paquete:
A software library for archiving nondominated points. 53-54 - F. Gibson, R. Fabbro, Alma A. M. Rahat, Thomas Torsney-Weir, Daniel Archambault, M. Gravenor, B. Lucini:
An interactive tool for enhancing hospital capacity predictions using an epidemiological model. 55-56 - Sonia Nasri, Hend Bouziri, Wassila Aggoune-Mtalaa:
A new hybrid evolutionary algorithm for dial-a-ride problems. 57-58 - Nikolay O. Nikitin, Alexander Hvatov, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Georgii V. Grigorev, Xiaohao Wang, Xiang Qian:
Generative design of microfluidic channel geometry using evolutionary approach. 59-60 - Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore:
Rapid prototyping of evolution-driven biclustering methods in Julia. 61-62 - Jean Ruppert, Marharyta Aleksandrova, Thomas Engel:
k-Pareto optimality for many-objective genetic optimization. 63-64 - Seung-Soo Shin, Yong-Hyuk Kim:
Winner prediction for real-time strategy games through feature selection based on a genetic wrapper. 65-66
Posters: Ant colony optimization and swarm intelligence
- Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li:
Novelty particle swarm optimisation for truss optimisation problems. 67-68 - Darren M. Chitty:
Partial-ACO as a GA mutation operator applied to TSP instances. 69-70 - Iztok Fister Jr., Iztok Fister, Andrés Iglesias, Akemi Gálvez:
On detecting the novelties in metaphor-based algorithms. 71-72 - H. David Mathias, Annie S. Wu, Daniel Dang:
Evolved response thresholds generalize across problem instances for a deterministic-response multiagent system. 73-74 - Federico Naldini, Paola Pellegrini, Joaquin Rodriguez:
Ant colony optimization for energy-efficient train operations. 75-76 - James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell:
Learning assignment order in an ant colony optimiser for the university course timetabling problem. 77-78 - Juntao Zhang, Peng Cheng:
Ant swarm algorithm for self-organizing complex system. 79-80
Posters: Complex systems (artificial life, artificial immune systems, generative and developmental systems, evolutionary robotics, evolvable hardware)
- Renata B. Biazzi, André Fujita, Daniel Y. Takahashi:
Predicting soft robot's locomotion fitness. 81-82 - David M. Bossens, Danesh Tarapore:
On the use of feature-maps for improved quality-diversity meta-evolution. 83-84 - Amine M. Boumaza:
Promoting reproductive isolation through diversity in on-line collective robotics. 85-86 - Alexandre Coninx, Stéphane Doncieux:
Younger is better: a simple and efficient selection strategy for MAP-Elites. 87-88 - Joshua Cook, Kagan Tumer:
Ad hoc teaming through evolution. 89-90 - Matteo De Carlo, Eliseo Ferrante, Jacintha Ellers, Gerben Meynen, A. E. Eiben:
The impact of different tasks on evolved robot morphologies. 91-92 - Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben:
Comparing lifetime learning methods for morphologically evolving robots. 93-94 - Gaurav Dixit, Charles Koll, Kagan Tumer:
Heterogeneous agent coordination via adaptive quality diversity and specialization. 95-96 - Paul Ecoffet, Nicolas Fontbonne, Jean-Baptiste André, Nicolas Bredèche:
Reinforcement learning with rare significant events: direct policy search vs. gradient policy search. 97-98 - Mika Ito, Leo Cazenille, Nathanaël Aubert-Kato:
Automatic exploration of the property space of reservoirs. 99-100 - Hetvi Jethwani, Sumeet Agarwal:
Examining forms of inductive bias towards 'simplicity' in genetic algorithms to enhance evolvability of boolean functions. 101-102 - João Macedo, Lino Marques, Ernesto Costa:
Designing fitness functions for odour source localisation. 103-104 - W. Garrett Mitchener:
How to evolve a neuron. 105-106 - Gregory Furman, Geoff Nitschke:
Environmental impact on evolving language diversity. 107-108 - Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben:
Impact of energy efficiency on the morphology and behaviour of evolved robots. 109-110 - Kirby Steckel, Jacob Schrum:
Illuminating the space of beatable lode runner levels produced by various generative adversarial networks. 111-112 - Kathryn Walker, Helmut Hauser, Sebastian Risi:
Growing simulated robots with environmental feedback: an eco-evo-devo approach. 113-114 - Dongmei Wang, Yiwen Liang, Chengyu Tan, Hongbin Dong, Xinmin Yang:
Pathogen dose based natural killer cell algorithm for classification. 115-116
Posters: Evolutionary combinatorial optimization and metaheuristics
- Marwan F. Abdelatti, Abdeltawab M. Hendawi, Manbir Sodhi:
Optimizing a GPU-accelerated genetic algorithm for the vehicle routing problem. 117-118 - Arnaud Berny:
Linear representation of categorical values. 119-120 - Piotr Cybula, Marek Rogalski, Piotr Sielski, Andrzej Jaszkiewicz, Przemyslaw Pelka:
Effective recombination operators for the family of vehicle routing problems. 121-122 - Mehdi El Krari, Rym Nesrine Guibadj, John Woodward, Denis Robilliard:
Introducing a hash function for the travelling salesman problem for differentiating solutions. 123-124 - Georg Faustmann, Christoph Mrkvicka, Nysret Musliu, Felix Winter:
Automated configuration of parallel machine dispatching rules by machine learning. 125-126 - Justin Fellers, José Quevedo, Marwan F. Abdelatti, Meghan Steinhaus, Manbir Sodhi:
Selecting between evolutionary and classical algorithms for the CVRP using machine learning: optimization of vehicle routing problems. 127-128 - Francisco Javier Gil Gala, María R. Sierra, Carlos Mencía, Ramiro Varela:
The optimal filtering set problem with application to surrogate evaluation in genetic programming. 129-130 - Fabian Kittel, Jannik Enenkel, Michael Guckert, Jana Holznigenkemper, Neil Urquhart:
Optimisation algorithms for parallel machine scheduling problems with setup times. 131-132 - Ole Jakob Mengshoel, Tong Yu, Jon Riege, Eirik Flogard:
Stochastic local search for efficient hybrid feature selection. 133-134 - Octavio Ramos-Figueroa, Marcela Quiroz-Castellanos:
A grouping genetic algorithm for the unrelated parallel-machine scheduling problem. 135-136 - Florian Richoux, Jean-François Baffier:
Error function learning with interpretable compositional networks for constraint-based local search. 137-138 - Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
A hybrid local search framework for the dynamic capacitated arc routing problem. 139-140 - Wei Zheng, Yiqing Zhang, Jianyong Sun:
Continuous encoding for community detection in complex networks. 141-142
Posters: Evolutionary machine learning
- Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa:
Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs. 143-144 - Victor Costa, Nuno Lourenço, João Correia, Penousal Machado:
Improved evolution of generative adversarial networks. 145-146 - Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Sparsity-based evolutionary multi-objective feature selection for multi-label classification. 147-148 - Miguel García-Torres, Francisco Gómez-Vela, Federico Divina, Diego P. Pinto-Roa, José Luis Vázquez Noguera, Julio César Mello Román:
Scatter search for high-dimensional feature selection using feature grouping. 149-150 - Pieter Gijsbers, Florian Pfisterer, Jan N. van Rijn, Bernd Bischl, Joaquin Vanschoren:
Meta-learning for symbolic hyperparameter defaults. 151-152 - Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid:
Evo-RL: evolutionary-driven reinforcement learning. 153-154 - Krzysztof Jurczuk, Marcin Czajkowski, Marek Kretowski:
Understanding evolutionary induction of decision trees: a multi-tree repository approach. 155-156 - Ilona M. Kulikovskikh, Tarzan Legovic:
Growth and harvest induce essential dynamics in neural networks. 157-158 - Sami Lemtenneche, Abdelhakim Cheriet, Bensayah Abdellah:
Permutation-based optimization using a generative adversarial network. 159-160 - Mariele Motta, Tanja Hagemann, Sebastian Fischer, Felix Assion:
EvolMusic: towards musical adversarial examples for black-box attacks on speech-to-text. 161-162 - Romain Orhand, Anne Jeannin-Girardon, Pierre Parrend, Pierre Collet:
Explainability and performance of anticipatory learning classifier systems in non-deterministic environments. 163-164 - Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation. 165-166 - Jake Robertson, Ting Hu:
An evolutionary approach to interpretable learning. 167-168 - Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama:
Misclassification detection based on conditional VAE for rule evolution in learning classifier system. 169-170 - Alexander R. M. Wagner, Anthony Stein:
Adopting lexicase selection for michigan-style learning classifier systems with continuous-valued inputs. 171-172 - Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang:
Evolving local interpretable model-agnostic explanations for deep neural networks in image classification. 173-174 - Connor Yates, Ayhan Alp Aydeniz, Kagan Tumer:
Adaptive multi-fitness learning for robust coordination. 175-176
Posters: Evolutionary multiobjective optimization
- Long Chen, Xuebing Cai, Kezhong Jin, Zhenzhou Tang:
MOMPA: a high performance multi-objective optimizer based on marine predator algorithm. 177-178 - Max Hort, Federica Sarro:
The effect of offspring population size on NSGA-II: a preliminary study. 179-180 - Yuta Kobayashi, Claus Aranha, Tetsuya Sakurai:
Dynamic adaptation of decomposition vector set size for MOEA/D. 181-182 - Jian-Yu Li, Ke-Jing Du, Zhi-Hui Zhan, Hua Wang, Jun Zhang:
Multi-criteria differential evolution: treating multitask optimization as multi-criteria optimization. 183-184 - Claudio Lucio do Val Lopes, Flávio V. C. Martins, Elizabeth F. Wanner, Kalyanmoy Deb:
An approximate MIP-DoM calculation for multi-objective optimization using affinity propagation clustering algorithm. 185-186 - Jesús-Adolfo Mejía-de-Dios, Efrén Mezura-Montes:
Generating multi-objective bilevel optimization problems with multiple non-cooperative followers. 187-188 - Sumit Mishra, Ved Prakash, Maxim Buzdalov:
Labeling-oriented non-dominated sorting is Θ(MN3). 189-190 - Abdul-Rauf Nuhu, Xuyang Yan, Daniel Opoku, Abdollah Homaifar:
A niching framework based on fitness proportionate sharing for multi-objective genetic algorithm (MOGA-FPS). 191-192 - Jiaze Sun, Nan Han, Jianbin Huang, Jiahui Deng:
Landmark-based multi-objective route planning for large-scale road net. 193-194 - Juan Ungredda, Jürgen Branke, Mariapia Marchi, Teresa Montrone:
One step preference elicitation in multi-objective Bayesian optimization. 195-196 - Liping Wang, Lin Zhang, Yu Ren, Qicang Qiu, Feiyue Qiu:
Two comprehensive performance metrics for overcoming the deficiencies of IGD and HV. 197-198
Posters: Evolutionary numerical optimization
- Adetunji David Ajimakin, V. Susheela Devi:
Estimation of von mises-fisher distribution algorithm, with application to support vector classification. 199-200 - Abdennour Boulesnane, Souham Meshoul:
Reinforcement learning for dynamic optimization problems. 201-202 - Ling-Yu Li, Wen-Jie Ou, Xiao-Min Hu, Wei-Neng Chen, An Song:
An empirical study of cooperative frequency in distributed cooperative co-evolution. 203-204 - Tassallah Abdullahi, Geoff Nitschke:
Disease outbreaks: tuning predictive machine learning. 205-206 - Nicolas Roy, Charlotte Beauthier, Timotéo Carletti, Alexandre Mayer:
Setup of fuzzy hybrid particle swarms: a heuristic approach. 207-208 - Hiroki Shimizu, Masashi Toyoda:
CMA-ES with coordinate selection for high-dimensional and ill-conditioned functions. 209-210 - Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
Bridging kriging believer and expected improvement using bump hunting for expensive black-box optimization. 211-212 - Boris Yazmir, Ofer M. Shir:
Automated feature detection of black-box continuous search-landscapes using neural image recognition. 213-214 - Urban Skvorc, Tome Eftimov, Peter Korosec:
A complementarity analysis of the COCO benchmark problems and artificially generated problems. 215-216
Posters: Genetic algorithms
- Vojtech Cerný, Jakub Gemrot:
Three population co-evolution for generating mechanics of endless runner games. 217-218 - Giovanni Acampora, Roberto Schiattarella, Autilia Vitiello:
Quantum genetic selection: using a quantum computer to select individuals in genetic algorithms. 219-220 - Renuá Meireles Almeida, Denys Menfredy Ferreira Ribeiro, Rodrigo Moraes Rodrigues, Otávio Noura Teixeira:
Fitness value curves prediction in the evolutionary process of genetic algorithms. 221-222 - Srivathsa Gottipati, Praveen Paruchuri:
A genetic algorithm approach to compute mixed strategy solutions for general Stackelberg games. 223-224 - Rune Krauss, Marcel Merten, Mirco Bockholt, Rolf Drechsler:
ALF: a fitness-based artificial life form for evolving large-scale neural networks. 225-226 - Krzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman:
Optimization of multi-objective mixed-integer problems with a model-based evolutionary algorithm in a black-box setting. 227-228 - Dirk Thierens, Tobias van Driessel:
A benchmark generator of tree decomposition Mk landscapes. 229-230 - Jakub Vincalek, Sean P. Walton, Ben J. Evans:
It's the journey not the destination: building genetic algorithms practitioners can trust. 231-232
Posters: General evolutionary computation and hybrids
- Maciej Swiechowski:
A crossover that matches diverse parents together in evolutionary algorithms. 233-234 - Fredrik Foss, Ole Jakob Mengshoel:
A multimethod approach to multimodal function optimization. 235-236