Artifical Evolution: 9th International Conference, Evolution Artificielle, EA, 2009, Strasbourg, France, October 26-28, 2009. Revised Selected Papers

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Titel: Artifical Evolution : 9th International Conference, Evolution Artificielle, EA, 2009, Strasbourg, France, October 26-28, 2009. Revised Selected Papers

Beteiligte: Collet, Pierre [VerfasserIn]; Legrand, Pierrick [Sonstige Person, Familie und Körperschaft]; Lutton, Evelyne [Sonstige Person, Familie und Körperschaft]; Monmarché, Nicolas [Sonstige Person, Familie und Körperschaft]; Schoenauer, Marc [Sonstige Person, Familie und Körperschaft]

Erschienen: Berlin, Heidelberg: Springer Berlin Heidelberg, 2010

Umfang: Online-Ressource (XII, 207p. 75 illus, digital)

Sprache: Englisch

DOI: 10.1007/978-3-642-14156-0

ISBN: 9783642141560

Identifikator:

RVK-Notation: SS 4800 : Lecture notes in computer science

Schlagwörter: Künstliche Evolution

Entstehung:

Anmerkungen:

Beschreibung: 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.

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