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Ajouter au panierHardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.8.
Edité par Vikas Publishing House (P) Ltd., 2006
ISBN 10 : 8125919066 ISBN 13 : 9788125919063
Langue: anglais
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Ajouter au panierEtat : New. pp. xv + 508 Index 2nd Edition, Reprint.
Edité par Vikas Publishing House (P) Ltd., 2006
ISBN 10 : 8125919066 ISBN 13 : 9788125919063
Langue: anglais
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Ajouter au panierEtat : New. pp. xv + 508 Figures.
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Ajouter au panierSoft cover. Etat : New. ISBN:9788126577132,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
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Ajouter au panierHardcover. Etat : Very Good. Etat de la jaquette : No Dust Jacket. A bright, clean copy. Crease to back of exterior. ; B&W Illustrations; 9.3 X 6.2 X 1.2 inches; 461 pages.
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Edition originale
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Ajouter au panierSoft cover. Etat : New. Etat de la jaquette : New. 1st Edition. Contents: 1. Evolutionary Computation 2. Genetic Algorithms 3. Terminologies and Operators of GA 4. Advanced Operators and Techniques in Genetic Algorithm 5. Classification of Genetic Algorithm 6. Genetic Programming 7. Genetic Algorithm Optimization Problems 8. Genetic Algorithm Implementation Using Matlab 9. Genetic Algorithm Optimization in C/C++ 10. Applications of Genetic Algorithms 11. Introduction to Particle Swarm Optimization and Ant Colony Optimization. Genetic Algorithms are adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic. The basic concept of Genetic Algorithms is designed to simulate processes in natural system necessary for evolution, specifically those that follow the principles first laid down by Charles Darwin of survival of the fittest. This book is designed to provide an in-depth knowledge on the basic operational features and characteristics of Genetic Algorithms. The various operators and techniques given in the book are pertinent to carry out Genetic Algorithm Research Projects. The book also explores the different types are Genetic Algorithms available with their importance. Implementation of Genetic Algorithm concept has been performed using the universal language C/C++ and the discussion also extends to Genetic Algorithm MATLAB Toolbox. Few Genetic Algorithm problems are programmed using MATLAB and the simulated results are given for the ready reference of the reader. The applications of Genetic Algorithms in Machine learning, Mechanical Engineering, Electrical Engineering, Civil Engineering, Data Mining, Image Processing, and VLSI are dealt to make the readers understand where the concept can be applied.
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Ajouter au panierhardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Edité par Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2010
ISBN 10 : 3642092241 ISBN 13 : 9783642092244
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
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Ajouter au panierPaperback. Etat : New. Theoriginofevolutionaryalgorithmswasanattempttomimicsomeofth eprocesses taking place in natural evolution. Although the details of biological evolution are not completely understood (even nowadays), there exist some points supported by strong experimental evidence: . Evolution is a process operating over chromosomes rather than over organisms. The former are organic tools encoding the structure of a living being, i.e., a cr- ture is "built" decoding a set of chromosomes. . Natural selection is the mechanism that relates chromosomes with the ef ciency of the entity they represent, thus allowing that ef cient organism which is we- adapted to the environment to reproduce more often than those which are not. . The evolutionary process takes place during the reproduction stage. There exists a large number of reproductive mechanisms in Nature. Most common ones are mutation (that causes the chromosomes of offspring to be different to those of the parents) and recombination (that combines the chromosomes of the parents to produce the offspring). Based upon the features above, the three mentioned models of evolutionary c- puting were independently (and almost simultaneously) developed. Softcover reprint of hardcover 1st ed. 2008.
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