Genetic Algorithms + Data Structures = Evolution Programs - Rilegato

Michalewicz, Z.

Rilegato

ISBN 10: 3540580905 ISBN 13: 9783540580904

Casa editrice: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1994

Riassunto

Genetic algorithms are based on the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, using genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the travelling salesman problem, and problems of scheduling, partitioning, and control. For the expanding area of parallel computation these techniques are becoming more and more important. The book is self-contained and the only prerequisite is basic undergraduate mathematics. 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 in this task.

Su questo libro

Dalla quarta di copertina

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.

Dettagli dell?edizione

• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
• Data di pubblicazione: 1994
• Lingua: Inglese
• ISBN 10: 3540580905
• ISBN 13: 9783540580904
• Rilegatura: Copertina rigida
• Numero edizione: 2
• Numero di pagine: 356
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com