Learning Classifier Systems: 11th International Workshop, IWLCS 2008, Atlanta, GA, USA, July 13, 2008, and 12th International Workshop, IWLCS 2009, Montreal, QC, Canada, July 9, 2009, Revised Selected Papers / Edition 1

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Overview

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, and in 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.

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Product Details

Table of Contents

LCS and Related Methods

Speeding Up Matching in Learning Classifier Systems Using Cuda Pier-Luca Lanzi Daniele Loiacono 1

Evolution of Interesting Association Rules Online with Learning Classifier Systems Albert Orriols-Puig Jorge Casillas 21

Coevolution of Pattern Generators and Recognizers Stewart W. Wilson 38

Function Approximation

How Fitness Estimates Interact with Reproduction Rates: Towards Variable Offspring Set Sizes in XCSF Patrick 0. Stalph Martin V. Butz 47

Current XCSF Capabilities and Challenges Patrick 0. Stalph Martin V. Butz 57

Lcs in Complex Domains

Recursive Least Squares and Quadratic Prediction in Continuous Multistep Problems Daniele Loiacono Pier-Luca Lanzi 70

Use of a Connection-Selection Scheme in Neural XCSF Gerard David Howard Larry Bull Pier-Luca Lanzi 87

Building Accurate Strategies in Non Markovian Environments without Memory Gilles énée Mathias Péroumalnaik 107

Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets Ajay Kumar Tanwani Muddassar Farooq 127

Applications

Supply Chain Management Sales Using XCSR María Franco Ivette Martínez Celso Gorrin 145

Identifying Trade Entry and Exit Timing Using Mathematical Technical Indicators in XCS Richard Preen 166

On the Homogenization of Data from Two Laboratories Using Genetic Programming Jose G. Moreno-Torres Xavier Llorà David E. Goldberg Rohit Bhargava 185

Author Index 199

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