9781447111863 - intelligent optimisation techniques: genetic algorithms, tabu search, simulated annealing and neural networks di pham, duc; karaboga, d. (9 risultati)
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Da: California Books, Miami, FL, U.S.A.California Books
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Intelligent Optimisation Techniques | Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks | Duc Pham (u. a.) | Taschenbuch | x | Englisch | 2011 | Springer | EAN 9781447111863 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen…[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers four optimisation techniques loosely classified as 'intelligent': genetic algorithms, tabu search, simulated annealing and neural networks. - Genetic algorithms (GAs) locate optima using processes similar to those in natural selec…tion and genetics. - Tabu search is a heuristic procedure that employs dynamically generated constraints or tabus to guide the search for optimum solutions. - Simulated annealing finds optima in a way analogous to the reaching of minimum energy configurations in metal annealing. - Neural networks are computational models of the brain. Certain types of neural networks can be used for optimisation by exploiting their inherent ability to evolve in the direction of the negative gradient of an energy function and to reach a stable minimum of that function. Aimed at engineers, the book gives a concise introduction to the four techniques and presents a range of applications drawn from electrical, electronic, manufacturing, mechanical and systems engineering. The book contains listings of C programs implementing the main techniques described to assist readers wishing to experiment with them. The book does not assume a previous background in intelligent optl1TIlsation techniques. For readers unfamiliar with those techniques, Chapter 1 outlines the key concepts underpinning them. To provide a common framework for comparing the different techniques, the chapter describes their performances on simple benchmark numerical and combinatorial problems. More complex engineering applications are covered in the remaining four chapters of the book.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers four optimisation techniques loosely classified as 'intelligent': genetic algorithms, tabu search, simulated annealing and neural networks. - Genetic algorithms (GAs) locate optima using processes similar to those…in natural selection and genetics. - Tabu search is a heuristic procedure that employs dynamically generated constraints or tabus to guide the search for optimum solutions. - Simulated annealing finds optima in a way analogous to the reaching of minimum energy configurations in metal annealing. - Neural networks are computational models of the brain. Certain types of neural networks can be used for optimisation by exploiting their inherent ability to evolve in the direction of the negative gradient of an energy function and to reach a stable minimum of that function. Aimed at engineers, the book gives a concise introduction to the four techniques and presents a range of applications drawn from electrical, electronic, manufacturing, mechanical and systems engineering. The book contains listings of C programs implementing the main techniques described to assist readers wishing to experiment with them. The book does not assume a previous background in intelligent optl1TIlsation techniques. For readers unfamiliar with those techniques, Chapter 1 outlines the key concepts underpinning them. To provide a common framework for comparing the different techniques, the chapter describes their performances on simple benchmark numerical and combinatorial problems. More complex engineering applications are covered in the remaining four chapters of the book. 316 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The optimisation techniques covered are topical, modern and widely used in various engineering disciplinesDetails all four techniques in one workPresents a number of applications from a wide range of engineering disc…iplinesThis work gives a conc.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book covers four optimisation techniques loosely classified as 'intelligent': genetic algorithms, tabu search, simulated annealing and neural networks. ¿ Genetic algorithms (GAs) locate optima using processes similar to those in n…atural selection and genetics. ¿ Tabu search is a heuristic procedure that employs dynamically generated constraints or tabus to guide the search for optimum solutions. ¿ Simulated annealing finds optima in a way analogous to the reaching of minimum energy configurations in metal annealing. ¿ Neural networks are computational models of the brain. Certain types of neural networks can be used for optimisation by exploiting their inherent ability to evolve in the direction of the negative gradient of an energy function and to reach a stable minimum of that function. Aimed at engineers, the book gives a concise introduction to the four techniques and presents a range of applications drawn from electrical, electronic, manufacturing, mechanical and systems engineering. The book contains listings of C programs implementing the main techniques described to assist readers wishing to experiment with them. The book does not assume a previous background in intelligent optl1TIlsation techniques. For readers unfamiliar with those techniques, Chapter 1 outlines the key concepts underpinning them. To provide a common framework for comparing the different techniques, the chapter describes their performances on simple benchmark numerical and combinatorial problems. More complex engineering applications are covered in the remaining four chapters of the book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 316 pp. Englisch.
