Michael Affenzeller, Stefan Wagner, Stephan Winkler

Genetic Algorithms and Genetic Programming

Modern Concepts and Practical Applications

• Gebundenes Buch

Produktbeschreibung

This book describes several generic algorithmic concepts that can be used in any kind of GA or with evolutionary optimization techniques. It 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, the authors show how to substantially increase achievable solution quality. They also describe structure identification using HeuristicLab as a platform for algorithm development. Software, dynamical presentations of representative test runs, and more are available on a supplementary website.

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Produktdetails

• Verlag: Chapman and Hall/CRC
• Seitenzahl: 394
• Erscheinungstermin: 9. April 2009
• Englisch
• Abmessung: 240mm x 161mm x 26mm
• Gewicht: 754g
• ISBN-13: 9781584886297
• ISBN-10: 1584886293
• Artikelnr.: 26500240

Autorenporträt

Michael Affenzeller, Stefan Wagner, Stephan Winkler, Andreas Beham

Inhaltsangabe

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.