Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications

by Michael Affenzeller, Stefan Wagner, Stephan Winkler, Andreas Beham

Overview

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for al

Product Details

ISBN-13:	9781040044254
Publisher:	CRC Press
Publication date:	04/09/2009
Series:	Numerical Insights
Sold by:	Barnes & Noble
Format:	eBook
Pages:	379
File size:	10 MB

About the Author

Michael Affenzeller, Stefan Wagner, Stephan Winkler, Andreas Beham

Table of Contents

Introduction. Simulating Evolution: Basics about Genetic Algorithms. Evolving Programs: Genetic Programming. Problems and Success Factors. Preservation of Relevant Building Blocks. SASEGASA-More Than the Sum of All Parts. Analysis of Population Dynamics. Characteristics of Offspring Selection and the RAPGA. Combinatorial Optimization: Route Planning. Evolutionary System Identification. Applications of Genetic Algorithms: Combinatorial Optimization. Data-Based Modeling with Genetic Programming. Conclusion and Outlook. Symbols and Abbreviations. References. Index.