Introduction evolutionary algorithms de gen mitsuo (13 resultados)
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Editorial: Springer, 2012
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Editorial: Springer, 2010
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Hardback. Condición: New. 2010 ed. Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, an…d up-to-date treatment of evolutionary algorithms. It covers such hot topics as. genetic algorithms, differential evolution, swarm intelligence, and. artificial immune systems.The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry.Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.
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Editorial: Springer, 2012
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Condición: New. pp. 436.
Idioma: Inglés
Editorial: Springer London, 2010
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 422 | Sprache: Englisch | Produktart: Bücher | Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evol…utionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as:¿ genetic algorithms,¿ differential evolution,¿ swarm intelligence, and¿ artificial immune systems.The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry.Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.
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Editorial: Springer London, Springer London, 2012
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algor…ithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as:- genetic algorithms,- differential evolution,- swarm intelligence, and- artificial immune systems.The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry.Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.
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Editorial: Springer Verlag, 2013
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Paperback. Condición: Brand New. 438 pages. 9.20x6.10x0.99 inches. In Stock.
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Editorial: Springer, 2010
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Paperback. Condición: New. 2010th.
Idioma: Inglés
Editorial: Springer London, 2012
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. - Establishes background to evolutionary algorithms- Introduces students to cutting-edge evolutionary algorithms- Enables readers to advance their own research by simulating the application provided in the bookEstabli…shes background to evolutionary a.
Idioma: Inglés
Editorial: Springer London, Springer London Sep 2012, 2012
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Ev…olutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as:- genetic algorithms,- differential evolution,- swarm intelligence, and- artificial immune systems.The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry.Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline. 436 pp. Englisch.
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Editorial: Springer London, 2010
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. - Establishes background to evolutionary algorithms- Introduces students to cutting-edge evolutionary algorithms- Enables readers to advance their own research by simulating the application provided in the bookEstabli…shes background to evolutionary a.
Idioma: Inglés
Editorial: Springer, 2012
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Condición: New. Print on Demand pp. 436 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Idioma: Inglés
Editorial: Springer, 2012
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND pp. 436.
