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Genetic Algorithms + Data Structures = Evolution Programs
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Genetic Algorithms + Data Structures = Evolution Programs

2nd, extended ed. - Erschienen 1994.

36131861/2
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Optimierung, data structure, Suchalgorithmen, data structures, programming, probabilistische Algorithmen, mathematics, algorithm, scheduling, algorithms, artificial intelligence, evolution, genetic algorithms, operations research, optimization,

Produktart:
📚 Bücher
Autor(en):
Michalewicz, Zbigniew:
Anbieter:
Buchpark GmbH
Bestell-Nr.:
361318612
Katalog:
Varia
ISBN | EAN:
3540580905 | 9783540580904
Stichworte:
Optimierung, data, structure, Suchalgorithmen, structures, programming, probabilistische, Algorithmen, mathematics, algorithm, scheduling, algorithms, artificial, intelligence, evolution, genetic, operations, optimization
Zahlungsarten:
Vorauskasse, PayPal
Gebraucht, sehr gut 38,61 EUR 34,75 EUR Kostenloser Versand
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Genetic Algorithms + Data Structures = Evolution Programs
Genetic Algorithms + Data Structures = Evolu…
Gebraucht, sehr gut
38,61 EUR 34,75 EUR
Kostenloser Versand
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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