Learning Classifier Systems

by Bacardit, Jaume; Browne, Will; Drugowitsch, Jan; Bernado-mansilla, Ester; Butz, Martin V.

• ISBN13: 9783642175077
• ISBN10: 3642175074
• Format: Paperback
• Copyright: 2011-07-14
• Publisher: Springer-Verlag New York Inc

Summary

This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Atlanta, GA, USA in July 2008, andin Montreal, Canada, in July 2009 - all hosted by the Genetic and Evolutionary Computation Conference, GECCO.The 12 revised full papers presented were carefully reviewed and selected from the workshop contributions. The papers are organized in topical sections on LCS in general, function approximation, LCS in complex domains, and applications.

Table of Contents

LCS and Related Methods
Speeding Up Matching in Learning Classifier Systems Using Cuda	p. 1
Evolution of Interesting Association Rules Online with Learning Classifier Systems	p. 21
Coevolution of Pattern Generators and Recognizers	p. 38
Function Approximation
How Fitness Estimates Interact with Reproduction Rates: Towards Variable Offspring Set Sizes in XCSF	p. 47
Current XCSF Capabilities and Challenges	p. 57
Lcs in Complex Domains
Recursive Least Squares and Quadratic Prediction in Continuous Multistep Problems	p. 70
Use of a Connection-Selection Scheme in Neural XCSF	p. 87
Building Accurate Strategies in Non Markovian Environments without Memory	p. 107
Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets	p. 127
Applications
Supply Chain Management Sales Using XCSR	p. 145
Identifying Trade Entry and Exit Timing Using Mathematical Technical Indicators in XCS	p. 166
On the Homogenization of Data from Two Laboratories Using Genetic Programming	p. 185
Author Index	p. 199
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