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Genetic algorithms + data structures = evolution programs

Author: Zbigniew Michalewicz
Publisher: Berlin ; New York : Springer-Verlag, ©1992.
Series: Artificial intelligence (Berlin, Germany)
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book discusses a class of algorithms which rely on analogies to natural processes - algorithms based on the principle of evolution, i.e., survival of the fittest. In these algorithms, called evolution programs, a population of individuals undergo a sequence of transformations. The individuals strive for survival: a selection scheme biased towards fitter individuals selects the next generation. After some  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Michalewicz, Zbigniew.
Genetic algorithms + data structures.
Berlin ; New York : Springer-Verlag, ©1992
(DLC) 92019925
(OCoLC)26014769
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Zbigniew Michalewicz
ISBN: 9783662028308 3662028301 9783662028322 3662028328
OCLC Number: 622804849
Reproduction Notes: Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL
Description: 1 online resource (xiv, 250 pages) : illustrations.
Details: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Contents: I. Genetic Algorithms --
1 GAs: What Are They? --
2 GAs: How Do They Work? --
3 GAs: Why Do They Work? --
4 GAs: Selected Topics --
II. Numerical Optimization --
5 Binary or Float? --
6 Fine Local Tuning --
7 Handling Constraints --
8 Evolution Strategies and Other Methods --
III. Evolution Programs --
9 The Transportation Problem --
10 The Traveling Salesman Problem --
11 Drawing Graphs, Scheduling, and Partitioning --
12 Machine Learning --
Conclusions --
References.
Series Title: Artificial intelligence (Berlin, Germany)
Responsibility: Zbigniew Michalewicz.

Abstract:

Discusses genetic algorithms which rely on analogies with natural processes like the principle of evolution, that is, survival of the fittest. Among the topics considered are optimization of  Read more...

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