Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applic

Description: Genetic Algorithms and Genetic Programming by Andreas Beham, Michael Affenzeller, Stephan Winkler, Stefan Wagner Describes several generic algorithmic concepts that can be used in various kinds of GA or with evolutionary optimization techniques. This title provides a better understanding of the basic workflow of GAs and GP, encouraging readers to establish new bionic, problem-independent theoretical concepts. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher 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 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. Author Biography Michael Affenzeller, Stefan Wagner, Stephan Winkler, Andreas Beham Table of Contents 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. Details ISBN1584886293 Author Stefan Wagner Series Numerical Insights Year 2009 ISBN-10 1584886293 ISBN-13 9781584886297 Format Hardcover Imprint Chapman & Hall/CRC Country of Publication United States DEWEY 006.31 Edition 1st Short Title GENETIC ALGORITHMS & GENETIC P Language English Media Book Subtitle Modern Concepts and Practical Applications Publisher Taylor & Francis Inc Affiliation Upper Austria University of Applied Sciences, Hagenberg DOI 10.1604/9781584886297 Pages 394 Publication Date 2009-04-09 AU Release Date 2009-04-09 NZ Release Date 2009-04-09 US Release Date 2009-04-09 UK Release Date 2009-04-09 Illustrations 68 Tables, black and white; 138 Illustrations, black and white Alternative 9781138114272 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:134477305;

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