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Gabrielle ZevinThe American Booksellers Association collects nominations from bookstores all over the country for favorite forthcoming titles. The Storied Life of... Continue »
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Genetic Algorithms and Evolutionary Computation #7: The Design of Innovation: Lessons from and for Competent Genetic Algorithms

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Genetic Algorithms and Evolutionary Computation #7: The Design of Innovation: Lessons from and for Competent Genetic Algorithms Cover

 

Synopses & Reviews

Publisher Comments:

The Design of Innovation illustrates how to design and implement competent genetic algorithms-genetic algorithms that solve hard problems quickly, reliably, and accurately-and how the invention of competent genetic algorithms amounts to the creation of an effective computational theory of human innovation. For the specialist in genetic algorithms and evolutionary computation, this book combines over two decades of hard-won research results in a single volume to provide a comprehensive step-by-step guide to designing genetic algorithms that scale well with problem size and difficulty. For the innovation researcher - whether from the social and behavioral sciences, the natural sciences, the humanities, or the arts - this unique book gives a consistent and valuable mathematical and computational viewpoint for understanding certain aspects of human innovation. For all readers, The Design of Innovation provides an entrA(c)e into the world of competent genetic algorithms and innovation through a methodology of invention borrowed from the Wright brothers. Combining careful decomposition, cost-effective, little analytical models, and careful design, the road to competence is paved with easily understood examples, simulations, and results from the literature.

Book News Annotation:

Goldberg (U. of Illinois at Urbana-Champaign) brings together a genetic algorithms design methodology, applicable pieces of design theory, and genetic algorithms designs. He develops models that give explicit guidance on how to design genetic algorithms that work, what he calls "competent GAs." A basic understanding of calculus, probability, and statistics is suggested.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

Synopsis:

This volume shows readers how to design and implement genetic algorithms thatsolve hard problems quickly, reliably, and accurately.

Synopsis:

This work illustrates how to design and implement competent genetic algorithms-genetic algorithms to solve hard problems quickly and reliably, and how the invention of competent genetic algorithms amounts to the creation of an effective computational theory of human innovation.

Synopsis:

Includes bibliographical references (p. [229]-240) and index.

Product Details

ISBN:
9781402070983
Author:
Goldberg, David E.
Publisher:
Springer
Author:
Goldberg
Location:
Boston
Subject:
General
Subject:
Genetic algorithms
Subject:
Evolutionary programming (computer science)
Subject:
Evolutionary programming
Subject:
Programming - Algorithms
Subject:
Software Engineering-Algorithms
Series:
Genetic Algorithms and Evolutionary Computation
Series Volume:
7
Publication Date:
20020631
Binding:
Hardcover
Language:
English
Illustrations:
Yes
Pages:
272
Dimensions:
9.62x6.20x.77 in. 1.26 lbs.

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Related Subjects

» Computers and Internet » Artificial Intelligence » Artificial Life
» Computers and Internet » Software Engineering » Algorithms
» Metaphysics » General

Genetic Algorithms and Evolutionary Computation #7: The Design of Innovation: Lessons from and for Competent Genetic Algorithms New Hardcover
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Product details 272 pages Kluwer Academic Publishers - English 9781402070983 Reviews:
"Synopsis" by , This volume shows readers how to design and implement genetic algorithms thatsolve hard problems quickly, reliably, and accurately.
"Synopsis" by , This work illustrates how to design and implement competent genetic algorithms-genetic algorithms to solve hard problems quickly and reliably, and how the invention of competent genetic algorithms amounts to the creation of an effective computational theory of human innovation.
"Synopsis" by , Includes bibliographical references (p. [229]-240) and index.
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