Pierre Collet
Artificial Evolution: 9th International Conference, Evolution Artificielle, Ea 2009, Strasbourg, France, October 26-28, 2009. Revised Selected Papers - Lecture Notes in Computer Science / Theoretical Computer Science and General Issues Pierre Collet

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Artificial Evolution: 9th International Conference, Evolution Artificielle, Ea 2009, Strasbourg, France, October 26-28, 2009. Revised Selected Papers - Lecture Notes in Computer Science / Theoretical Computer Science and General Issues

Pierre Collet

Constitutes the proceedings of the 9th International Conference on Artificial Evolution, held in Strasbourg, France, in October 2009.

Marc Notes: Includes bibliographical references and index.; Also issued online. Table of Contents: Theory.- Extremal Optimization Dynamics in Neutral Landscapes: The Royal Road Case.- Improving the Scalability of EA Techniques: A Case Study in Clustering.- Ant Colony Optimization.- MC-ANT: A Multi-Colony Ant Algorithm.- Applications.- Artificial Evolution for 3D PET Reconstruction.- A Hybrid Genetic Algorithm/Variable Neighborhood Search Approach to Maximizing Residual Bandwidth of Links for Route Planning.- Parallelization of an Evolutionary Algorithm on a Platform with Multi-core Processors.- On the Difficulty of Inferring Gene Regulatory Networks: A Study of the Fitness Landscape Generated by Relative Squared Error.- Combinatorial Optimization.- Memetic Algorithms for Constructing Binary Covering Arrays of Strength Three.- A Priori Knowledge Integration in Evolutionary Optimization.- Robotics.- On-Line, On-Board Evolution of Robot Controllers.- The Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms.- Multi-objective Optimization.- An Analysis of Algorithmic Components for Multiobjective Ant Colony Optimization: A Case Study on the Biobjective TSP.- Alternative Fitness Assignment Methods for Many-Objective Optimization Problems.- Genetic Programming.- Evolving Efficient List Search Algorithms.- Semantic Similarity Based Crossover in GP: The Case for Real-Valued Function Regression.- Genetic-Programming Based Prediction of Data Compression Saving.- Machine Learning.- On the Characteristics of Sequential Decision Problems and Their Impact on Evolutionary Computation and Reinforcement Learning.

メディア	書籍 Paperback Book (ソフトカバーで背表紙を接着した本)
リリース済み	2010年7月6日
ISBN13	9783642141553
出版社	Springer-Verlag Berlin and Heidelberg Gm
ページ数	207
寸法	155 × 234 × 13 mm · 340 g
言語	フランス語
編集者	Collet, Pierre
編集者	Legrand, Pierrick
編集者	Lutton, Evelyne
編集者	Monmarche, Nicolas
編集者	Schoenauer, Marc