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Genetic Algorithms + Data Structures = Evolution Programs (Hardcover)

by Zbigniew Michalewicz (Author) "There is a large class of interesting problems for which no reasonably fast algorithms have been developed ..." (more)

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Product details

Hardcover: 387 pages
Publisher: Springer (1 Mar 1996)
Language German
ISBN-10: 3540606769
ISBN-13: 978-3540606765
Product Dimensions: 23.8 x 16.2 x 2.8 cm

Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)

Amazon.co.uk Sales Rank: 232,990 in Books (See Bestsellers in Books)

Popular in these categories:

#18 in	Books > Computing & Internet > Computer Science > Algorithms > Genetic
#21 in	Books > Science & Nature > Mathematics > Numbers > Number Systems
#39 in	Books > Science & Nature > Mathematics > Discrete Mathematics

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Product Description

Amazon.com

Zbigniew Michalewicz's Genetic Algorithms + Data Structures = Evolution Programs has three sections. The first section is a straightforward introduction to genetic algorithms. In the second section, Michalewicz describes how to apply genetic algorithms to numerical optimization. Michalewicz, who is a pioneer in this field, discusses the rationale for using genetic algorithms for numerical optimization and describes several experiments that show how this new type of genetic algorithm performs. The author devotes the third section of the book to evolution programs.

Product Description

Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science.The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation.

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There is a large class of interesting problems for which no reasonably fast algorithms have been developed. Read the first page

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	81% buy the item featured on this page: Genetic Algorithms + Data Structures = Evolution Programs 5.0 out of 5 stars (1) �37.74
	9% buy An Introduction to Genetic Algorithms (Complex Adaptive Systems) 4.7 out of 5 stars (6) �22.08
	6% buy Practical Genetic Algorithms 5.0 out of 5 stars (1) �49.49
	4% buy Genetic Algorithms in Search, Optimization and Machine Learning 4.5 out of 5 stars (6) �45.03

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4 of 7 people found the following review helpful:

5.0 out of 5 stars simply one of the best, 15 Dec 2003

By	"i_cant_find_a_nick_name" - See all my reviews

this book is simply one of the best. if you are a student in ai or al, really, go for it. it includes useful methodologies and analysis that will help with your assignments. for everyone else, it is a good read, totally understandable without being public science. it is entertaining, usefull and a good reference. this book is one of those you just should have in your cupboard.....

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