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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/ edited by Pierre Collet, Nicolas Monmarché, Pierrick Legrand, Marc Schoenauer, Evelyne Lutton |
Format: | E-Book Konferenzbericht |
Sprache: | Englisch |
veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2010
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Gesamtaufnahme: |
SpringerLink Lecture notes in computer science ; 5975 |
Schlagwörter: | |
Buchausg. u.d.T.: | Artificial evolution, Berlin : Springer, 2010, XII, 205 S. |
Quelle: | Verbunddaten SWB |
Zugangsinformationen: | Elektronischer Volltext - Campuslizenz |
Zusammenfassung: | 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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Umfang: | Online-Ressource (XII, 207p. 75 illus, digital) |
ISBN: |
9783642141560
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DOI: | 10.1007/978-3-642-14156-0 |