Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications

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Michael Affenzeller (Johannes Kepler University of Linz, Austria) Stefan Wagner

Genetic Algorithms and Genetic Programming

Modern Concepts and Practical Applications

Michael Affenzeller (Johannes Kepler University of Linz, Austria), Stefan Wagner, Stephan Winkler , Andreas Beham

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English

Chapman & Hall/CRC
09 April 2009

Machine learning

Series: Numerical Insights

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 algorithm development.

The book focuses on both theoretical and empirical aspects. The theoretical sections explore the important and characteristic properties of the basic GA as well as main characteristics of the selected algorithmic extensions developed by the authors. In the empirical parts of the text, the authors apply GAs to two combinatorial optimization problems: the traveling salesman and capacitated vehicle routing problems. To highlight the properties of the algorithmic measures in the field of GP, they analyze GP-based nonlinear structure identification applied to time series and classification problems. Written by core members of the HeuristicLab team, this book provides a better understanding of the basic workflow of GAs and GP, encouraging readers to establish new bionic, problem-independent theoretical concepts. By comparing the results of standard GA and GP implementation with several algorithmic extensions, it also shows how to substantially increase achievable solution quality.

By: Michael Affenzeller (Johannes Kepler University of Linz Austria), Stefan Wagner, Stephan Winkler, Andreas Beham
Imprint: Chapman & Hall/CRC
Country of Publication: United States
Volume: v. 6
Dimensions: Height: 234mm, Width: 156mm, Spine: 25mm
Weight: 680g
ISBN: 9781584886297
ISBN 10: 1584886293
Series: Numerical Insights
Pages: 394
Publication Date: 09 April 2009
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Michael Affenzeller, Stefan Wagner, Stephan Winkler, Andreas Beham