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Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications

Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial ApplicationsCreators: K. Miettinen, Pekka Neittaanmäki, M. M. Mäkelä, Jacques Périaux
Publisher: Wiley
Category: Book

List Price: $315.00
Buy New: $76.62
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New (9) Used (4) from $75.22

Seller: littlemabookstore
Rating: 5.0 out of 5 stars 1 reviews
Sales Rank: 4550502

Media: Hardcover
Pages: 500
Number Of Items: 1
Shipping Weight (lbs): 1.8
Dimensions (in): 9.3 x 6.4 x 1.3

ISBN: 0471999024
Dewey Decimal Number: 005.1
EAN: 9780471999027
ASIN: 0471999024

Publication Date: July 16, 1999
Availability: Usually ships in 1-2 business days

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  • Digital - Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications

Editorial Reviews:

Product Description
Evolutionary Algorithms in Engineering and Computer Science Edited by K. Miettinen, University of Jyväskylä, Finland M. M. Mäkelä, University of Jyväskylä, Finland P. Neittaanmäki, University of Jyväskylä, Finland J. Périaux, Dassault Aviation, France What is Evolutionary Computing? Based on the genetic message encoded in DNA, and digitalized algorithms inspired by the Darwinian framework of evolution by natural selection, Evolutionary Computing is one of the most important information technologies of our times. Evolutionary algorithms encompass all adaptive and computational models of natural evolutionary systems - genetic algorithms, evolution strategies, evolutionary programming and genetic programming. In addition, they work well in the search for global solutions to optimization problems, allowing the production of optimization software that is robust and easy to implement. Furthermore, these algorithms can easily be hybridized with traditional optimization techniques. This book presents state-of-the-art lectures delivered by international academic and industrial experts in the field of evolutionary computing. It bridges artificial intelligence and scientific computing with a particular emphasis on real-life problems encountered in application-oriented sectors, such as aerospace, electronics, telecommunications, energy and economics. This rapidly growing field, with its deep understanding and assesssment of complex problems in current practice, provides an effective, modern engineering tool. This book will therefore be of significant interest and value to all postgraduates, research scientists and practitioners facing complex optimization problems.


Customer Reviews:
5 out of 5 stars Excellent review of the status of GA's   October 10, 2000
3 out of 8 found this review helpful

This book is perfect to bring the practioner or researcher up to date with the state of the art in the field of GAs. Because each chapter is authored by different contributors, the style varies a lot. However, the book succeeds in its unifying theme. Probably the most useful thing accomplished here is to introduce the research community to the reader so that one can pick up reading directly from the fast evolving literature. Enjoy.

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