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Advances Bio Inspired Computing Combinatorial by Pintea Camelia Mihaela (26 results)
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US$ 115.77
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Advances in Bio-inspired Computing for Combinatorial Optimization Problems (Intelligent Systems Reference Library, 57)
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Advances in Bio-inspired Computing for Combinatorial Optimization Problems (Intelligent Systems Reference Library, 57)
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Advances in Bio-inspired Computing for Combinatorial Optimization Problems
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Add to basketHardcover. Condition: Neu. Neu Neuware, auf Lager - 'Advances in Bio-inspired Combinatorial Optimization Problems' illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems.Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and their results are discussed.Some of the main concepts and models described in this book are: inner rule to guide ant search - a recent model in ant optimization, heterogeneous sensitive ants; virtual sensitive robots; ant-based techniques for static and dynamic routing problems; stigmergic collaborative agents and learning sensitive agents.This monograph is useful for researchers, students and all people interested in the recent natural computing frameworks. The reader is presumed to have knowledge of combinatorial optimization, graph theory, algorithms and programming. The book should furthermore allow readers to acquire ideas, concepts and models to use and develop new software for solving complex real-life problems.
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Advances in Bio-inspired Computing for Combinatorial Optimization Problems
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2015, 2015
ISBN 10: 3642438776 ISBN 13: 9783642438776
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -'Advances in Bio-inspired Combinatorial Optimization Problems' illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems.Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and their results are discussed.Some of the main concepts and models described in this book are: inner rule to guide ant search - a recent model in ant optimization, heterogeneous sensitive ants; virtual sensitive robots; ant-based techniques for static and dynamic routing problems; stigmergic collaborative agents and learning sensitive agents.This monograph is useful for researchers, students and all people interested in the recent natural computing frameworks. The reader is presumed to have knowledge of combinatorial optimization, graph theory, algorithms and programming. The book should furthermore allow readers to acquire ideas, concepts and models to use and develop new software for solving complex real-life problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 200 pp. Englisch.
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Advances in Bio-inspired Computing for Combinatorial Optimization Problems
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2013, 2013
ISBN 10: 3642401783 ISBN 13: 9783642401787
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketBuch. Condition: Neu. Neuware -'Advances in Bio-inspired Combinatorial Optimization Problems' illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems.Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and their results are discussed.Some of the main concepts and models described in this book are: inner rule to guide ant search - a recent model in ant optimization, heterogeneous sensitive ants; virtual sensitive robots; ant-based techniques for static and dynamic routing problems; stigmergic collaborative agents and learning sensitive agents.This monograph is useful for researchers, students and all people interested in the recent natural computing frameworks. The reader is presumed to have knowledge of combinatorial optimization, graph theory, algorithms and programming. The book should furthermore allow readers to acquire ideas, concepts and models to use and develop new software for solving complex real-life problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 200 pp. Englisch.
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Advances in Bio-inspired Computing for Combinatorial Optimization Problems
Published by Springer Berlin Heidelberg, 2015
ISBN 10: 3642438776 ISBN 13: 9783642438776
Language: English
US$ 129.34
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Advances in Bio-inspired Combinatorial Optimization Problems' illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems.Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and their results are discussed.Some of the main concepts and models described in this book are: inner rule to guide ant search - a recent model in ant optimization, heterogeneous sensitive ants; virtual sensitive robots; ant-based techniques for static and dynamic routing problems; stigmergic collaborative agents and learning sensitive agents.This monograph is useful for researchers, students and all people interested in the recent natural computing frameworks. The reader is presumed to have knowledge of combinatorial optimization, graph theory, algorithms and programming. The book should furthermore allow readers to acquire ideas, concepts and models to use and develop new software for solving complex real-life problems.
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US$ 177.00
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Add to basketHardcover. Condition: Brand New. 2014 edition. 200 pages. 9.25x6.50x0.75 inches. In Stock.
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Advances in Bio-inspired Computing for Combinatorial Optimization Problems
Published by Springer Berlin Heidelberg, 2013
ISBN 10: 3642401783 ISBN 13: 9783642401787
Language: English
US$ 89.83
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Advances in Bio-inspired Computing for Combinatorial Optimization Problems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 201.07
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Advances in Bio-inspired Computing for Combinatorial Optimization Problems
Published by Springer Berlin Heidelberg Aug 2015, 2015
ISBN 10: 3642438776 ISBN 13: 9783642438776
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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US$ 129.34
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Advances in Bio-inspired Combinatorial Optimization Problems' illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems.Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and their results are discussed.Some of the main concepts and models described in this book are: inner rule to guide ant search - a recent model in ant optimization, heterogeneous sensitive ants; virtual sensitive robots; ant-based techniques for static and dynamic routing problems; stigmergic collaborative agents and learning sensitive agents.This monograph is useful for researchers, students and all people interested in the recent natural computing frameworks. The reader is presumed to have knowledge of combinatorial optimization, graph theory, algorithms and programming. The book should furthermore allow readers to acquire ideas, concepts and models to use and develop new software for solving complex real-life problems. 200 pp. Englisch.
-
Advances in Bio-inspired Computing for Combinatorial Optimization Problems
Published by Springer Berlin Heidelberg Aug 2013, 2013
ISBN 10: 3642401783 ISBN 13: 9783642401787
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 129.34
Convert currencyUS$ 26.99 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Advances in Bio-inspired Combinatorial Optimization Problems' illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems.Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and their results are discussed.Some of the main concepts and models described in this book are: inner rule to guide ant search - a recent model in ant optimization, heterogeneous sensitive ants; virtual sensitive robots; ant-based techniques for static and dynamic routing problems; stigmergic collaborative agents and learning sensitive agents.This monograph is useful for researchers, students and all people interested in the recent natural computing frameworks. The reader is presumed to have knowledge of combinatorial optimization, graph theory, algorithms and programming. The book should furthermore allow readers to acquire ideas, concepts and models to use and develop new software for solving complex real-life problems. 200 pp. Englisch.
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Advances in Bio-inspired Computing for Combinatorial Optimization Problems
Published by Springer Berlin Heidelberg, 2015
ISBN 10: 3642438776 ISBN 13: 9783642438776
Language: English
US$ 111.55
Convert currencyUS$ 57.50 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces new bio-inspired techniques based on ants, agents and virtual robots Solves real-life complex problems using the introduced bio-inspired techniques Recent research on Bio-inspired Computing for Combinatorial Optimization Problems.
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Advances in Bio-inspired Computing for Combinatorial Optimization Problems
Published by Springer Berlin Heidelberg, 2013
ISBN 10: 3642401783 ISBN 13: 9783642401787
Language: English
US$ 111.55
Convert currencyUS$ 57.50 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces new bio-inspired techniques based on ants, agents and virtual robots Solves real-life complex problems using the introduced bio-inspired techniques Recent research on Bio-inspired Computing for Combinatorial Optimization Problems.
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US$ 168.81
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Add to basketCondition: New. Print on Demand pp. 198.
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US$ 183.83
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Add to basketCondition: New. PRINT ON DEMAND pp. 198.
