Evolutionary Computation for Modeling and Optimization
Ashlock, Daniel
ISBN 10: 1441919694 ISBN 13: 9781441919694
Edité par Springer, 2010
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Couverture souple
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2010. Paperback. . . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9781441919694
Synopsis :
Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, selectionist algorithms that operate on populations of structures. It includes over 100 experiments and over 700 homework problems that introduce the topic with an application-oriented approach. Engineering, computer science, and applied math students will find the book a useful guide to using evolutionary algorithms as a problem solving tool. No previous familliarity with evolutionary computation is assumed. The topics include the design of simple evolutionary algorithms, applications to several types of optimization, evolutionary robotics, simple evolutionary neural computation, and several types of automatic programming including genetic programming. The book gives applications to biology and bioinformatics and introduces a number of tools that can be used in biological modeling, including evolutionary game theory. The problem oriented approach of the book makes it a good text for engineering of computer science application classes.
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Titre : Evolutionary Computation for Modeling and ...
Éditeur : Springer
Date d'édition : 2010
Reliure : Couverture souple
Etat : New
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EVOLUTIONARY COMPUTATION FOR MODELING AND OPTIMIZATION
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ISBN 10 : 1441919694
ISBN 13 : 9781441919694
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Softcover. Octavo, xix, 571 pages. In Very Good condition. Spine is grey with white print. Illustrated: b&w, "With 163 figures"- title page. NOTE: Shelved in Netdesk Column E. 1377215. FP New Rockville Stock. N° de réf. du vendeur 1377215
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Evolutionary Computation for Modeling and Optimization
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ISBN 13 : 9781441919694
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, selectionist algorithms that operate on populations of structures. It includes over 100 experiments and over 700 homework problems that introduce the t. N° de réf. du vendeur 4172529
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Evolutionary Computation for Modeling and Optimization
Edité par
Springer, 2010
ISBN 10 : 1441919694
ISBN 13 : 9781441919694
Ancien ou d'occasion
Soft cover
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Evolutionary Computation for Modeling and Optimization
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Evolutionary Computation for Modeling and Optimization
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Springer US, Springer New York Okt 2010, 2010
ISBN 10 : 1441919694
ISBN 13 : 9781441919694
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey of some application of evolutionary algorithms. It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It also includes a methodological material on efficient implementation. Some of the other topics in this book include the design of simple evolutionary algorithms, applications to several types of optimization, evolutionary robotics, simple evolutionary neural computation, and several types of automatic programming including genetic programming. The book gives applications to biology and bioinformatics and introduces a number of tools that can be used in biological modeling, including evolutionary game theory. Advanced techniques such as cellular encoding, grammar based encoding, and graph based evolutionary algorithms are also covered.This book presents a large number of homework problems, projects, and experiments, with a goal of illustrating single aspects of evolutionary computation and comparing different methods. Its readership is intended for an undergraduate or first-year graduate course in evolutionary computation for computer science, engineering, or other computational science students. Engineering, computer science, and applied math students will find this book a useful guide to using evolutionary algorithms as a problem solving tool.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 592 pp. Englisch. N° de réf. du vendeur 9781441919694
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Evolutionary Computation for Modeling and Optimization
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Springer New York Okt 2010, 2010
ISBN 10 : 1441919694
ISBN 13 : 9781441919694
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Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets.Lots of applications and test problems, including a biotechnology chapter. 592 pp. Englisch. N° de réf. du vendeur 9781441919694
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Evolutionary Computation for Modeling and Optimization
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Evolutionary Computation for Modeling and Optimization (Paperback)
Edité par
Springer-Verlag New York Inc., New York, NY, 2010
ISBN 10 : 1441919694
ISBN 13 : 9781441919694
Neuf
Paperback
Edition originale
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Paperback. Etat : new. Paperback. Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey of some application of evolutionary algorithms. It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It also includes a methodological material on efficient implementation. Some of the other topics in this book include the design of simple evolutionary algorithms, applications to several types of optimization, evolutionary robotics, simple evolutionary neural computation, and several types of automatic programming including genetic programming. The book gives applications to biology and bioinformatics and introduces a number of tools that can be used in biological modeling, including evolutionary game theory. Advanced techniques such as cellular encoding, grammar based encoding, and graph based evolutionary algorithms are also covered. This book presents a large number of homework problems, projects, and experiments, with a goal of illustrating single aspects of evolutionary computation and comparing different methods. Its readership is intended for an undergraduate or first-year graduate course in evolutionary computation for computer science, engineering, or other computational science students. Engineering, computer science, and applied math students will find this book a useful guide to using evolutionary algorithms as a problem solving tool. Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781441919694
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Evolutionary Computation for Modeling and Optimization (Paperback or Softback)
Edité par
Springer 10/15/2010, 2010
ISBN 10 : 1441919694
ISBN 13 : 9781441919694
Neuf
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Paperback or Softback. Etat : New. Evolutionary Computation for Modeling and Optimization. Book. N° de réf. du vendeur BBS-9781441919694
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Evolutionary Computation for Modeling and Optimization
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey ofsomeapplication of evolutionary algorithms.It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It also includes a methodologicalmaterial on efficient implementation. Some of the other topics in this book include the design of simple evolutionary algorithms, applications to several types of optimization, evolutionary robotics, simple evolutionary neural computation, and several types of automatic programming including genetic programming. The book gives applications to biology and bioinformatics and introduces a number of tools that can be used in biological modeling, including evolutionary game theory. Advanced techniques such as cellular encoding, grammar based encoding, and graph based evolutionary algorithms are also covered. This bookpresents a large number of homework problems, projects, and experiments, with a goal of illustrating single aspects of evolutionary computation and comparing different methods. Its readership is intendedfor an undergraduate or first-year graduate course in evolutionary computation for computer science, engineering, or other computational science students. Engineering, computer science, and applied math students will find this book a useful guide to using evolutionary algorithms as a problem solving tool. N° de réf. du vendeur 9781441919694
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