TY  - BOOK
AU  - Collet,Pierre
AU  - Monmarché,Nicolas
AU  - Legrand,Pierrick
AU  - Schoenauer,Marc
AU  - Lutton,Evelyne
ED  - SpringerLink (Online service)
TI  - Artifical Evolution: 9th International Conference, Evolution Artificielle, EA, 2009, Strasbourg, France, October 26-28, 2009. Revised Selected Papers 
T2  - Lecture Notes in Computer Science,
SN  - 9783642141560
AV  - Q334-342 
U1  - 006.3 23
PY  - 2010///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Computer Communication Networks
KW  - Computer software
KW  - Information systems
KW  - Artificial intelligence
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Computation by Abstract Devices
KW  - Algorithm Analysis and Problem Complexity
KW  - Information Systems Applications (incl.Internet)
KW  - Computer Appl. in Administrative Data Processing
N1  - 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
UR  - http://dx.doi.org/10.1007/978-3-642-14156-0
ER  -