Evolutionary Computation for Modeling and Optimization (eng)
Language: English
Published by Springer, 2010
- Softcover
- New
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
AbeBooks seller since October 11, 2022
Condition: New
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- Title
- Evolutionary Computation for Modeling and Optimization (eng)
- Author
- Ashlock, Daniel
- Publisher
- Springer
- Publication year
- 2010
- Condition
- new
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1441919694
- ISBN 13
- 9781441919694
- Item weight
- 0.84 kilograms
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Brook Bookstore On Demand
Napoli, NA, Italy
AbeBooks seller since October 11, 2022
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Brook Bookstore On Demand offers a wide selection of books with a continuously updated catalog and fast shipments all over the world. We hold distribution rights with all of the publishers we promote and are in continuous search of new interesting titles to propose to our customers. We are part of Brandon Group SRL (an Italian company) and all of the orders are shipped from Europe. Depending on availability orders will be picked from our different warehouses.
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