Artificial Evolution 9th International Conference, Evolution Artificielle, EA 2009, Strasbourg, France, October 26-28, 2009. Revised Selected Papers için kapak resmi
Artificial Evolution 9th International Conference, Evolution Artificielle, EA 2009, Strasbourg, France, October 26-28, 2009. Revised Selected Papers
Başlık:
Artificial Evolution 9th International Conference, Evolution Artificielle, EA 2009, Strasbourg, France, October 26-28, 2009. Revised Selected Papers
ISBN:
9783642141560
Edition:
1st ed. 2010.
Yayın Bilgileri:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Fiziksel Tanımlama:
XII, 207 p. 75 illus. online resource.
Series:
Theoretical Computer Science and General Issues, 5975
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.
Dil:
English