Ebook: 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

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.

---

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.

---

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.
Content:
Front Matter....Pages -
Speeding Up Matching in Learning Classifier Systems Using CUDA....Pages 1-20
Evolution of Interesting Association Rules Online with Learning Classifier Systems....Pages 21-37
Coevolution of Pattern Generators and Recognizers....Pages 38-46
How Fitness Estimates Interact with Reproduction Rates: Towards Variable Offspring Set Sizes in XCSF....Pages 47-56
Current XCSF Capabilities and Challenges....Pages 57-69
Recursive Least Squares and Quadratic Prediction in Continuous Multistep Problems....Pages 70-86
Use of a Connection-Selection Scheme in Neural XCSF....Pages 87-106
Building Accurate Strategies in Non Markovian Environments without Memory....Pages 107-126
Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets....Pages 127-144
Supply Chain Management Sales Using XCSR....Pages 145-165
Identifying Trade Entry and Exit Timing Using Mathematical Technical Indicators in XCS....Pages 166-184
On the Homogenization of Data from Two Laboratories Using Genetic Programming....Pages 185-197
Back Matter....Pages -

---

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.
Content:
Front Matter....Pages -
Speeding Up Matching in Learning Classifier Systems Using CUDA....Pages 1-20
Evolution of Interesting Association Rules Online with Learning Classifier Systems....Pages 21-37
Coevolution of Pattern Generators and Recognizers....Pages 38-46
How Fitness Estimates Interact with Reproduction Rates: Towards Variable Offspring Set Sizes in XCSF....Pages 47-56
Current XCSF Capabilities and Challenges....Pages 57-69
Recursive Least Squares and Quadratic Prediction in Continuous Multistep Problems....Pages 70-86
Use of a Connection-Selection Scheme in Neural XCSF....Pages 87-106
Building Accurate Strategies in Non Markovian Environments without Memory....Pages 107-126
Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets....Pages 127-144
Supply Chain Management Sales Using XCSR....Pages 145-165
Identifying Trade Entry and Exit Timing Using Mathematical Technical Indicators in XCS....Pages 166-184
On the Homogenization of Data from Two Laboratories Using Genetic Programming....Pages 185-197
Back Matter....Pages -
....