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.

Medios de comunicación	Libros Paperback Book (Libro con tapa blanda y lomo encolado)
Publicado	6 de julio de 2010
ISBN13	9783642141553
Editores	Springer-Verlag Berlin and Heidelberg Gm
Páginas	207
Dimensiones	155 × 234 × 13 mm · 340 g
Lengua	Francés
Editor	Collet, Pierre
Editor	Legrand, Pierrick
Editor	Lutton, Evelyne
Editor	Monmarche, Nicolas
Editor	Schoenauer, Marc