Genetic Algorithms and Genetic Programming (inbunden)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
394
Utgivningsdatum
2009-04-09
Förlag
Chapman & Hall/CRC
Medarbetare
Winkler, Stephan / Wagner, Stefan
Illustratör/Fotograf
68 black & white tables 138 black & white illustrations
Illustrationer
68 Tables, black and white; 138 Illustrations, black and white
Dimensioner
236 x 160 x 25 mm
Vikt
704 g
Antal komponenter
1
Komponenter
52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam
ISBN
9781584886297

Genetic Algorithms and Genetic Programming

Modern Concepts and Practical Applications

av Michael Affenzeller, Stefan Wagner, Stephan Winkler, Andreas Beham
Inbunden,  Engelska, 2009-04-09
2849
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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.
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Fler böcker av författarna

Michael Affenzeller, Stefan Wagner, Stephan Winkler, Andreas Beham

Övrig information

Michael Affenzeller, Stefan Wagner, Stephan Winkler, Andreas Beham

Innehållsförteckning

Introduction. Simulating Evolution: Basics about Genetic Algorithms. Evolving Programs: Genetic Programming. Problems and Success Factors. Preservation of Relevant Building Blocks. SASEGASAMore 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.

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