Learning Classifier Systems
by Bacardit, Jaume; Browne, Will; Drugowitsch, Jan; Bernado-mansilla, Ester; Butz, Martin V.Format: Paperback
Pub. Date: 2011-07-14
Publisher(s): Springer-Verlag New York Inc
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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 |
| Table of Contents provided by Ingram. All Rights Reserved. |
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