Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation PDF Download
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Author: Samuelson Hong, Wei-Chiang
Publisher: IGI Global
ISBN: 1466636297
Category : Computers
Languages : en
Pages : 357
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Book Description
Evolutionary computation has emerged as a major topic in the scientific community as many of its techniques have successfully been applied to solve problems in a wide variety of fields. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. Particularly focusing on breaking trends in evolutionary computing, algorithms, and programming, this publication serves to support professionals, government employees, policy and decision makers, as well as students in this scientific field.
Author: Samuelson Hong, Wei-Chiang
Publisher: IGI Global
ISBN: 1466636297
Category : Computers
Languages : en
Pages : 357
Get Book Here
Book Description
Evolutionary computation has emerged as a major topic in the scientific community as many of its techniques have successfully been applied to solve problems in a wide variety of fields. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. Particularly focusing on breaking trends in evolutionary computing, algorithms, and programming, this publication serves to support professionals, government employees, policy and decision makers, as well as students in this scientific field.
Author: Wei-Chiang Samuelson Hong
Publisher: IGI Publishing
ISBN: 9781613505540
Category :
Languages : en
Pages : 106
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Book Description
Author: Wei-Chiang Samuelson Hong
Publisher: IGI Publishing
ISBN: 9781613502679
Category :
Languages : en
Pages : 102
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Book Description
Author: Daniel Ashlock
Publisher: Springer Science & Business Media
ISBN: 0387319093
Category : Computers
Languages : en
Pages : 578
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Book Description
Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.
Author: Hong
Publisher: IGI Publishing
ISBN: 9781466610743
Category : Computers
Languages : en
Pages : 112
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Book Description
Author: Waun Ed Hong
Publisher: IGI Publishing
ISBN: 9781466610729
Category : Computers
Languages : en
Pages : 92
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Book Description
Author: Wei-Chiang Samuelson Hong
Publisher: IGI Publishing
ISBN: 9781466610712
Category :
Languages : en
Pages : 110
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Book Description
Author: Waun Ed Hong
Publisher: IGI Publishing
ISBN: 9781466610736
Category : Computers
Languages : en
Pages : 118
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Book Description
Author: Hong, Wei-Chiang Samuelson
Publisher: IGI Global
ISBN: 1466617500
Category : Computers
Languages : en
Pages : 400
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Book Description
Increasingly powerful and diverse computing technologies have the potential to tackle ever greater and more complex problems and dilemmas in engineering and science disciplines. Principal Concepts in Applied Evolutionary Computation: Emerging Trends provides an introduction to the important interdisciplinary discipline of evolutionary computation, an artificial intelligence field that combines the principles of computational intelligence with the mechanisms of the theory of evolution. Academics and practicing field professionals will find this reference useful as they break into the emerging and complex world of evolutionary computation, learning to harness and utilize this exciting new interdisciplinary field.
Author: Xin Yao
Publisher: World Scientific
ISBN: 9814518166
Category : Computers
Languages : en
Pages : 376
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Book Description
Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can roughly be divided into two major parts: the introductory one and the one on selected advanced topics. Each part consists of several chapters which present an in-depth discussion of selected topics. A strong connection is established between evolutionary algorithms and traditional search algorithms. This connection enables us to incorporate ideas in more established fields into evolutionary algorithms. The book is aimed at a wide range of readers. It does not require previous exposure to the field since introductory material is included. It will be of interest to anyone who is interested in adaptive optimization and learning. People in computer science, artificial intelligence, operations research, and various engineering fields will find it particularly interesting.
