Genetic Algorithms and Genetic Programming
Modern Concepts and Practical Applications
Published on 9. April 2009
379 pages
978-1-4200-1132-6 (ISBN)
Description
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
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Computer scientists, engineers, mathematicians, and researchers interested in optimization techniques.
Illustrations
138 s/w Abbildungen, 68 s/w Tabellen
138 b/w images, 68 tables and over 100 equations
File size
9,60 MB
ISBN-13
978-1-4200-1132-6 (9781420011326)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Michael Affenzeller | Stefan Wagner | Stephan Winkler
Genetic Algorithms and Genetic Programming
Modern Concepts and Practical Applications
Book
04/2018
1st Edition
CRC Press
€109.90
Shipment within 10-20 days
Michael Affenzeller | Stefan Wagner | Stephan Winkler
Genetic Algorithms and Genetic Programming
Modern Concepts and Practical Applications
Book
04/2009
1st Edition
Chapman & Hall/CRC
€288.50
Shipment within 15-20 days
Persons
Michael Affenzeller, Stefan Wagner, Stephan Winkler, Andreas Beham
Content
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.
