Genetic Algorithms and Genetic Programming | Modern Concepts and Practical Applications

Michael Affenzeller (u. a.)

ISBN 10: 1584886293 / ISBN 13: 9781584886297

Published by Chapman and Hall/CRC, 2009

About this Item

Genetic Algorithms and Genetic Programming | Modern Concepts and Practical Applications | Michael Affenzeller (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2009 | Chapman and Hall/CRC | EAN 9781584886297 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 128519920

Bibliographic Details

• Title: Genetic Algorithms and Genetic Programming | Modern Concepts and Practical Applications
• Publisher: Chapman and Hall/CRC
• Publication Date: 2009
• Language: English
• ISBN 10: 1584886293
• ISBN 13: 9781584886297
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 26D millimeters 240 millimeters width by 161 millimeters height by 26 millimeters depth
• Weight: 754 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

Michael Affenzeller, Stefan Wagner, Stephan Winkler, Andreas Beham