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25 Remote Warehouse Computers Reference- General

Genetic Algorithms + Data Structures = Evolution Programs

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Genetic Algorithms + Data Structures = Evolution Programs Cover

 

Synopses & Reviews

Publisher Comments:

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.

Table of Contents

Introduction.- Part I. Genetic Algorithms. GAs: What Are They? - GAs: How Do They Work? - GAs: Why Do They Work? - GAs: Selected Topics.- Part II. Numerical Optimization. Binary or Float? - Fine Local Tuning.- Handling Constraints.- Evolution Strategies and Other Methods.- Part III. Evolution Programs. The Transportation Problem.- The Traveling Salesman Problem.- Machine Learning.- Evolutionary Programming and Genetic Programming.- A Hierarchy of Evolution Programs.- Evolution Programs and Heuristics.- Conclusions.- Appendices.- References.- Index.

Product Details

ISBN:
9783642082337
Author:
Michalewicz, Zbigniew
Publisher:
Springer
Location:
Berlin, Heidelberg
Subject:
Artificial Intelligence
Subject:
Optimierung
Subject:
Suchalgorithmen
Subject:
OPTIMIZATION
Subject:
probabilistic algorithms
Subject:
probabilistische Algorithmen
Subject:
search techniques
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Algorithms
Subject:
Numerical analysis
Subject:
Programming techniques
Subject:
Software engineering
Subject:
Operations Research/Decision Theory Classic introduction to the evolution programming techniques<BR>Many figures and tables<BR>The systematic approach makes the book an appropriate text for a senior undergraduate/graduate one semester course
Subject:
Computers-Reference - General
Subject:
Operations Research/Decision Theory
Subject:
Operation Research/Decision Theory
Subject:
Computer Science
Subject:
The Arts
Subject:
Operations Research
Copyright:
Edition Description:
3rded. 1996
Publication Date:
20110729
Binding:
TRADE PAPER
Language:
English
Pages:
407
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Computers and Internet » Software Engineering » Algorithms
Computers and Internet » Software Engineering » General

Genetic Algorithms + Data Structures = Evolution Programs New Trade Paper
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