Genetic algorithms + data structures = evolution programs

3rd rev. and extended ed.
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Last edited by MARC Bot
July 29, 2024 | History

Genetic algorithms + data structures = evolution programs

3rd rev. and extended ed.
  • 3 Want to read

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 aim of this book is to talk about the field of evolutionary computation in simple terms, and discuss the simplicity and elegance of its methods on many interesting test cases. The book may serve as a guide to writing an evolution program, and to making this an enjoyable experience. It is self-contained and the only prerequisite is basic undergraduate mathematics.

Aimed at researchers, practitioners, and graduate students, it may serve as a text for advanced courses in computer science and artificial intelligence, operations research, and engineering.

This third edition has been substantially revised and extended. Three new chapters discuss the recent paradigm of genetic programming, heuristic methods and constraint handling, and current directions of research. Additional appendices contain test functions for experiments with evolutionary techniques and discuss possible projects for use in a project-oriented course.

Publish Date
Publisher
Springer-Verlag
Language
English
Pages
387

Buy this book

Previews available in: Polish English

Edition Availability
Cover of: Genetic Algorithms + Data Structures = Evolution Programs
Genetic Algorithms + Data Structures = Evolution Programs
Mar 12, 2014, Springer
paperback
Cover of: Genetic Algorithms + Data Structures = Evolution Programs
Genetic Algorithms + Data Structures = Evolution Programs
2013, Springer London, Limited
in English
Cover of: Genetic Algorithms + Data Structures = Evolution Programs
Genetic Algorithms + Data Structures = Evolution Programs
2013, Springer London, Limited
in English
Cover of: Genetic Algorithms + Data Structures = Evolution Programs
Genetic Algorithms + Data Structures = Evolution Programs
Sep 22, 2011, Springer
paperback
Cover of: Algorytmy genetyczne + struktury danych = programy ewolucyjne
Algorytmy genetyczne + struktury danych = programy ewolucyjne
2003, Wydawnictwa Naukowo-Techniczne
in Polish - Wyd. 3.
Cover of: Genetic algorithms + data structures = evolution programs
Genetic algorithms + data structures = evolution programs
1996, Springer-Verlag
in English - 3rd rev. and extended ed.
Cover of: Genetic Algorithms + Data Structures =
Genetic Algorithms + Data Structures =: Evolution Programs
1994, Springer Berlin Heidelberg
electronic resource / in English - Second, Extended Edition.
Cover of: Genetic algorithms + data structures = evolution programs
Genetic algorithms + data structures = evolution programs
1994, Springer-Verlag
in English - 2nd, extended ed.
Cover of: Genetic algorithms + data structures = evolution programs
Genetic algorithms + data structures = evolution programs
1992, Springer-Verlag
in English

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Book Details


Edition Notes

Includes bibliographical references (p. [363]-382) and index.

Published in
Berlin, New York
Other Titles
Genetic algorithms plus data structures equals evolution programs

Classifications

Dewey Decimal Class
005.1
Library of Congress
QA76.618 .M53 1996, Q334-342

The Physical Object

Pagination
xx, 387 p. :
Number of pages
387

ID Numbers

Open Library
OL811129M
Internet Archive
geneticalgorithm00zbig_837
ISBN 10
3540606769
LCCN
95048027
OCLC/WorldCat
33897934
Library Thing
294144
Goodreads
142616

Work 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 has been growing in the last decade, 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. It is aimed at researchers, practitioners, and graduate students in computer science and artificial intelligence, operations research, and engineering. This second edition includes several new sections and many references to recent developments. A simple example of genetic code and an index are also added. Writing an evolution program for a given problem should be an enjoyable experience - this book may serve as a guide to this task.

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July 29, 2024 Edited by MARC Bot import existing book
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April 1, 2008 Created by an anonymous user Imported from Scriblio MARC record