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10. EA 2011: Angers, France
- Jin-Kao Hao, Pierrick Legrand, Pierre Collet, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer:
Artificial Evolution - 10th International Conference, Evolution Artificielle, EA 2011, Angers, France, October 24-26, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7401, Springer 2012, ISBN 978-3-642-35532-5
Ant Colony Optimization
- Michalis Mavrovouniotis, Shengxiang Yang:
An Immigrants Scheme Based on Environmental Information for Ant Colony Optimization for the Dynamic Travelling Salesman Problem. 1-12
Multi-Objective Optimization
- Alan Díaz-Manríquez, Gregorio Toscano Pulido, Ricardo Landa Becerra:
A Surrogate-Based Intelligent Variation Operator for Multiobjective Optimization. 13-24 - Viviane Grunert da Fonseca, Carlos M. Fonseca:
The Relationship between the Covered Fraction, Completeness and Hypervolume Indicators. 25-36
Analysis
- Marc Schoenauer, Fabien Teytaud, Olivier Teytaud:
A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize. 37-48 - Sébastien Vérel, Fabio Daolio, Gabriela Ochoa, Marco Tomassini:
Local Optima Networks with Escape Edges. 49-60 - Evelyne Lutton, Julie Foucquier, Nathalie Perrot, Jean Louchet, Jean-Daniel Fekete:
Visual Analysis of Population Scatterplots. 61-72
Implementation and Robotics
- Robert-Jan Huijsman, Evert Haasdijk, A. E. Eiben:
An On-Line On-Board Distributed Algorithm for Evolutionary Robotics. 73-84 - Dogan Aydin, Tianjun Liao, Marco Antonio Montes de Oca, Thomas Stützle:
Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm. 85-96 - Ogier Maitre, Nicolas Lachiche, Pierre Collet:
Two Ports of a Full Evolutionary Algorithm onto GPGPU. 97-108
Combinatorial Optimization
- Denis Robilliard, Cyril Fonlupt, Virginie Marion-Poty, Amine M. Boumaza:
A Multilevel Tabu Search with Backtracking for Exploring Weak Schur Numbers. 109-119 - Eduardo Rodriguez-Tello, Luis Carlos Betancourt:
An Improved Memetic Algorithm for the Antibandwidth Problem. 121-132
Learning and Parameter Tuning
- Vincent van der Goes:
Adaptive Play in a Pollution Bargaining Game. 133-144 - Mátyás Brendel, Marc Schoenauer:
Learn-and-Optimize: A Parameter Tuning Framework for Evolutionary AI Planning. 145-155
New Nature Inspired Models
- Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
A Model Based on Biological Invasions for Island Evolutionary Algorithms. 157-168 - Jorge Sebastian Hernández-Domínguez, Gregorio Toscano Pulido, Carlos A. Coello Coello:
A Multi-objective Particle Swarm Optimizer Enhanced with a Differential Evolution Scheme. 169-180
Probabilistic Algorithms
- Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter:
Evolution of Multisensory Integration in Large Neural Fields. 181-192 - Amine M. Boumaza:
Reducing the Learning Time of Tetris in Evolution Strategies. 193-204
Theory and Evolutionary Search
- Benjamin Doerr, Carola Winzen:
Black-Box Complexity: Breaking the O(n logn) Barrier of LeadingOnes. 205-216
Applications
- Robin Roche, Lhassane Idoumghar, Benjamin Blunier, Abdellatif Miraoui:
Imperialist Competitive Algorithm for Dynamic Optimization of Economic Dispatch in Power Systems. 217-228
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