Central Library

Normal view MARC view ISBD view

Evolutionary computation : a unified approach / Kenneth A. De Jong.

By: De Jong, Kenneth A [author.].
Contributor(s): IEEE Xplore (Online Service) [distributor.] | MIT Press [publisher.].
Material type: materialTypeLabelBookPublisher: Cambridge, Massachusetts : MIT Press, 2006Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2006]Description: 1 PDF (256 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9780262255981.Subject(s): Evolutionary programming (Computer science) | Evolutionary computationGenre/Form: Electronic books.Additional physical formats: Print version:: No titleDDC classification: 005.1 Online resources: Abstract with links to resource Also available in print.
Contents:
1. Introduction -- 2. A historical perspective -- 3. Canonical evolutionary algorithms -- 4. A unified view of simple EAs -- 5. Evolutionary algorithms as problem solvers --
Summary: Evolutionary computation, the use of evolutionary systems as computational processes for solving complex problems, is a tool used by computer scientists and engineers who want to harness the power of evolution to build useful new artifacts, by biologists interested in developing and testing better models of natural evolutionary systems, and by artificial life scientists for designing and implementing new artificial evolutionary worlds. In this clear and comprehensive introduction to the field, Kenneth De Jong presents an integrated view of the state of the art in evolutionary computation. Although other books have described such particular areas of the field as genetic algorithms, genetic programming, evolution strategies, and evolutionary programming, Evolutionary Computation is noteworthy for considering these systems as specific instances of a more general class of evolutionary algorithms. This useful overview of a fragmented field is suitable for classroom use or as a reference for computer scientists and engineers.
    average rating: 0.0 (0 votes)
No physical items for this record

Includes bibliographical references and index.

1. Introduction -- 2. A historical perspective -- 3. Canonical evolutionary algorithms -- 4. A unified view of simple EAs -- 5. Evolutionary algorithms as problem solvers --

Restricted to subscribers or individual electronic text purchasers.

Evolutionary computation, the use of evolutionary systems as computational processes for solving complex problems, is a tool used by computer scientists and engineers who want to harness the power of evolution to build useful new artifacts, by biologists interested in developing and testing better models of natural evolutionary systems, and by artificial life scientists for designing and implementing new artificial evolutionary worlds. In this clear and comprehensive introduction to the field, Kenneth De Jong presents an integrated view of the state of the art in evolutionary computation. Although other books have described such particular areas of the field as genetic algorithms, genetic programming, evolution strategies, and evolutionary programming, Evolutionary Computation is noteworthy for considering these systems as specific instances of a more general class of evolutionary algorithms. This useful overview of a fragmented field is suitable for classroom use or as a reference for computer scientists and engineers.

Also available in print.

Mode of access: World Wide Web

Description based on PDF viewed 12/29/2015.

There are no comments for this item.

Log in to your account to post a comment.