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ORCID14th PPSN 2016: Edinburgh, UK
- Julia Handl, Emma Hart, Peter R. Lewis
, Manuel López-Ibáñez, Gabriela Ochoa, Ben Paechter:
Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. Lecture Notes in Computer Science 9921, Springer 2016, ISBN 978-3-319-45822-9
Adaptation, Self-adaptation and Parameter Tuning
- Youhei Akimoto, Nikolaus Hansen:
Online Model Selection for Restricted Covariance Matrix Adaptation. 3-13 - Stefano Nichele, Tom Eivind Glover, Gunnar Tufte:
Genotype Regulation by Self-modifying Instruction-Based Development on Cellular Automata. 14-25 - Michael Hellwig, Hans-Georg Beyer:
Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES. 26-36 - Xiuli Wu, Pietro A. Consoli, Leandro L. Minku, Gabriela Ochoa, Xin Yao:
An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem. 37-47 - Willem den Besten, Dirk Thierens, Peter A. N. Bosman:
The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme. 48-58 - Zbynek Pitra, Lukás Bajer, Martin Holena:
Doubly Trained Evolution Control for the Surrogate CMA-ES. 59-68 - Martin Zaefferer, Thomas Bartz-Beielstein:
Efficient Global Optimization with Indefinite Kernels. 69-79 - Christopher Jankee, Sébastien Vérel, Bilel Derbel, Cyril Fonlupt:
A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods. 80-90 - Rafael Nogueras, Carlos Cotta:
A Study of the Performance of Self-★ Memetic Algorithms on Heterogeneous Ephemeral Environments. 91-100 - Claudia R. Correa, Elizabeth F. Wanner, Carlos M. Fonseca:
Lyapunov Design of a Simple Step-Size Adaptation Strategy Based on Success. 101-110
Differential Evolution and Swarm Intelligence
- Weijie Zheng, Haohuan Fu, Guangwen Yang:
TADE: Tight Adaptive Differential Evolution. 113-122 - Marco Baioletti, Alfredo Milani, Valentino Santucci:
An Extension of Algebraic Differential Evolution for the Linear Ordering Problem with Cumulative Costs. 123-133 - Eduardo Lalla-Ruiz, Eduardo Segredo, Stefan Voß, Emma Hart, Ben Paechter:
Analysing the Performance of Migrating Birds Optimisation Approaches for Large Scale Continuous Problems. 134-144 - Ryoji Tanabe, Alex Fukunaga:
How Far Are We from an Optimal, Adaptive DE? 145-155 - Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer:
Feature Based Algorithm Configuration: A Case Study with Differential Evolution. 156-166 - Carlos M. Fernandes, Juan Julián Merelo Guervós, Agostinho C. Rosa:
An Asynchronous and Steady State Update Strategy for the Particle Swarm Optimization Algorithm. 167-177
Dynamic, Uncertain and Constrained Environments
- Asma Atamna, Anne Auger, Nikolaus Hansen:
Augmented Lagrangian Constraint Handling for CMA-ES - Case of a Single Linear Constraint. 181-191 - Dirk V. Arnold:
An Active-Set Evolution Strategy for Optimization with Known Constraints. 192-202 - Xiaofen Lu, Ke Tang, Xin Yao:
Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation. 203-213 - Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Jussi Hakanen, Yaochu Jin:
On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization. 214-224 - Renato Tinós, Shengxiang Yang:
Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization. 225-236 - Jürgen Branke, Xin Fei:
Efficient Sampling When Searching for Robust Solutions. 237-246
Genetic Programming
- William B. Langdon, Justyna Petke, Bobby R. Bruce:
Optimising Quantisation Noise in Energy Measurement. 249-259 - Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao:
Syntactical Similarity Learning by Means of Grammatical Evolution. 260-269 - Pak-Kan Wong, Man-Leung Wong, Kwong-Sak Leung:
Hierarchical Knowledge in Self-Improving Grammar-Based Genetic Programming. 270-280 - Jacob Soderlund, Darwin Vickers, Alan Blair:
Parallel Hierarchical Evolution of String Library Functions. 281-291 - Ann Thorhauer:
On the Non-uniform Redundancy in Grammatical Evolution. 292-302 - Thi Huong Chu, Quang Uy Nguyen, Michael O'Neill:
Tournament Selection Based on Statistical Test in Genetic Programming. 303-312 - William B. Langdon:
Kin Selection with Twin Genetic Programming. 313-323 - Brad Alexander, Connie Pyromallis, George Lorenzetti, Brad Zacher:
Using Scaffolding with Partial Call-Trees to Improve Search. 324-334 - Martin Pilát, Roman Neruda:
Feature Extraction for Surrogate Models in Genetic Programming. 335-344 - Francesco Marino, Giovanni Squillero, Alberto Paolo Tonda:
A General-Purpose Framework for Genetic Improvement. 345-352 - Edgar Galván López, Efrén Mezura-Montes, Ouassim Ait ElHara, Marc Schoenauer:
On the Use of Semantics in Multi-objective Genetic Programming. 353-363 - Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard:
Semantic Forward Propagation for Symbolic Regression. 364-374 - Luiz Otávio Vilas Boas Oliveira, Luis Fernando Miranda, Gisele L. Pappa, Fernando E. B. Otero, Ricardo H. C. Takahashi:
Reducing Dimensionality to Improve Search in Semantic Genetic Programming. 375-385
Multi-objective, Many-objective and Multi-level Optimisation
- Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
iMOACO _\mathbb R : A New Indicator-Based Multi-objective Ant Colony Optimization Algorithm for Continuous Search Spaces. 389-398 - Ke Li, Mohammad Nabi Omidvar, Kalyanmoy Deb, Xin Yao:
Variable Interaction in Multi-objective Optimization Problems. 399-409 - Ke Lu, Jürgen Branke, Tapabrata Ray:
Improving Efficiency of Bi-level Worst Case Optimization. 410-420 - Daniel Horn, Karin Schork, Tobias Wagner:
Multi-objective Selection of Algorithm Portfolios: Experimental Validation. 421-430 - Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernán E. Aguirre, Kiyoshi Tanaka:
Multi-objective Local Search Based on Decomposition. 431-441 - Zhilei Ren, He Jiang, Jifeng Xuan, Ke Tang, Yan Hu:
Analyzing Inter-objective Relationships: A Case Study of Software Upgradability. 442-452 - Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Michael T. M. Emmerich:
Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms. 453-462 - Erella Matalon Eisenstadt, Amiram Moshaiov, Gideon Avigad:
The Competing Travelling Salespersons Problem Under Multi-criteria. 463-472 - Edgar Manoatl López, Carlos A. Coello Coello:
A Parallel Multi-objective Memetic Algorithm Based on the IGD+ Indicator. 473-482 - Vesa Ojalehto, Dmitry Podkopaev, Kaisa Miettinen:
Towards Automatic Testing of Reference Point Based Interactive Methods. 483-492 - David J. Walker, Ed Keedwell:
Towards Many-Objective Optimisation with Hyper-heuristics: Identifying Good Heuristics with Indicators. 493-502 - Hisao Ishibuchi, Ken Doi, Yusuke Nojima:
Use of Piecewise Linear and Nonlinear Scalarizing Functions in MOEA/D. 503-513 - Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore:
Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning. 514-524 - Luis Miguel Antonio, Carlos A. Coello Coello:
Decomposition-Based Approach for Solving Large Scale Multi-objective Problems. 525-534
Parallel Algorithms and Hardware Issues
- Emily L. Rounds, Eric O. Scott, Andrew S. Alexander, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar:
An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks. 537-547 - Francisco Fernández de Vega, Francisco Chávez de la O, Josefa Díaz, Juan Ángel García, Pedro A. Castillo, Juan Julián Merelo Guervós, Carlos Cotta:
A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms - Towards Energy-Aware Bioinspired Algorithms. 548-557 - Simon Wessing, Günter Rudolph, Dino A. Menges:
Comparing Asynchronous and Synchronous Parallelization of the SMS-EMOA. 558-567 - Raquel Hernández Gómez, Carlos A. Coello Coello, Enrique Alba:
A Parallel Version of SMS-EMOA for Many-Objective Optimization Problems. 568-577
Real-World Applications and Modelling
- Randal S. Olson, Jason H. Moore, Christoph Adami:
Evolution of Active Categorical Image Classification via Saccadic Eye Movement. 581-590 - Jorge C. Gomes, Miguel Duarte, Pedro Mariano, Anders Lyhne Christensen:
Cooperative Coevolution of Control for a Real Multirobot System. 591-601 - Amit Benbassat, Avishai Henik:
Replicating the Stroop Effect Using a Developmental Spatial Neuroevolution System. 602-612 - Stjepan Picek, Dominik Sisejkovic, Vladimir Rozic, Bohan Yang, Domagoj Jakobovic, Nele Mentens:
Evolving Cryptographic Pseudorandom Number Generators. 613-622 - Nathaniel Powell, Josh C. Bongard:
Exploring Uncertainty and Movement in Categorical Perception Using Robots. 623-632 - Rodica Ioana Lung, Mihai Suciu, Regina Meszlényi, Krisztián Búza, Noémi Gaskó:
Community Structure Detection for the Functional Connectivity Networks of the Brain. 633-643 - Eléonore Vissol-Gaudin, Apostolos Kotsialos, Mark K. Massey, Dagou A. Zeze, Christopher Pearson, Chris Groves, Michael C. Petty:
Data Classification Using Carbon-Nanotubes and Evolutionary Algorithms. 644-654 - Dusan Hrabec, Pavel Popela, Jan Roupec:
WS Network Design Problem with Nonlinear Pricing Solved by Hybrid Algorithm. 655-664 - Francisco A. L. Manfrini, Heder S. Bernardino, Helio J. C. Barbosa:
A Novel Efficient Mutation for Evolutionary Design of Combinational Logic Circuits. 665-674 - Dídac Rodríguez Arbonès, Boyin Ding, Nataliia Y. Sergiienko, Markus Wagner:
Fast and Effective Multi-objective Optimisation of Submerged Wave Energy Converters. 675-685 - Borys Wróbel:
Evolution of Spiking Neural Networks Robust to Noise and Damage for Control of Simple Animats. 686-696 - Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer:
Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm. 697-706 - Sam Kriegman, Marcin Szubert, Josh C. Bongard, Christian Skalka:
Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling. 707-716 - Van Loi Cao, Miguel Nicolau, James McDermott:
A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection. 717-726
Theory
- Mojgan Pourhassan, Feng Shi, Frank Neumann:
Parameterized Analysis of Multi-objective Evolutionary Algorithms and the Weighted Vertex Cover Problem. 729-739 - Wanru Gao, Tobias Friedrich, Frank Neumann:
Fixed-Parameter Single Objective Search Heuristics for Minimum Vertex Cover. 740-750 - Zhenhua Li, Qingfu Zhang:
What Does the Evolution Path Learn in CMA-ES? 751-760 - Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton:
Graceful Scaling on Uniform Versus Steep-Tailed Noise. 761-770 - Tobias Friedrich, Timo Kötzing, Andrew M. Sutton:
On the Robustness of Evolving Populations. 771-781 - Benjamin Doerr, Carola Doerr, Timo Kötzing:
Provably Optimal Self-adjusting Step Sizes for Multi-valued Decision Variables. 782-791 - Thomas Jansen, Christine Zarges:
Example Landscapes to Support Analysis of Multimodal Optimisation. 792-802 - Duc-Cuong Dang, Per Kristian Lehre:
Self-adaptation of Mutation Rates in Non-elitist Populations. 803-813 - Andreia P. Guerreiro, Carlos M. Fonseca:
Hypervolume Sharpe-Ratio Indicator: Formalization and First Theoretical Results. 814-823 - Benjamin Doerr, Carola Doerr, Jing Yang:
k-Bit Mutation with Self-Adjusting k Outperforms Standard Bit Mutation. 824-834 - Chao Qian, Ke Tang, Zhi-Hua Zhou:
Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization. 835-846
Diversity and Landscape Analysis
- Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert:
RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm. 849-858 - Momodou L. Sanyang, Ata Kabán:
REMEDA: Random Embedding EDA for Optimising Functions with Intrinsic Dimension. 859-868 - Wanru Gao, Samadhi Nallaperuma, Frank Neumann:
Feature-Based Diversity Optimization for Problem Instance Classification. 869-879 - Justin K. Pugh, Lisa B. Soros, Kenneth O. Stanley:
Searching for Quality Diversity When Diversity is Unaligned with Quality. 880-889 - Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton:
Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms. 890-900 - Sebastian Herrmann, Gabriela Ochoa, Franz Rothlauf:
Coarse-Grained Barrier Trees of Fitness Landscapes. 901-910 - Davy Smith, Laurissa N. Tokarchuk, Geraint A. Wiggins:
Rapid Phenotypic Landscape Exploration Through Hierarchical Spatial Partitioning. 911-920 - Andreas Steyven, Emma Hart, Ben Paechter:
Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. 921-931 - Khulood AlYahya, Jonathan E. Rowe:
Simple Random Sampling Estimation of the Number of Local Optima. 932-941 - Justin J. Kelly, Christian Jacob:
evoVision3D: A Multiscale Visualization of Evolutionary Histories. 942-951 - Eric O. Scott, Kenneth A. De Jong:
Landscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise. 952-961 - Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael Emmerich:
Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. 962-972 - Yuichi Nagata:
Population Diversity Measures Based on Variable-Order Markov Models for the Traveling Salesman Problem. 973-983 - Shouyong Jiang, Shengxiang Yang:
Convergence Versus Diversity in Multiobjective Optimization. 984-993 - Nadarajen Veerapen, Gabriela Ochoa, Renato Tinós, L. Darrell Whitley:
Tunnelling Crossover Networks for the Asymmetric TSP. 994-1003
Workshops and Tutorials at PPSN 2016
- Christian Blum, Christine Zarges:
The Workshops at PPSN 2016. 1007-1011 - Carola Doerr, Nicolas Bredèche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis, Carlos M. Fonseca, Andreia P. Guerreiro, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malagò, Juan Julián Merelo Guervós, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer:
Tutorials at PPSN 2016. 1012-1022
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