Advances in Bio-inspired Computing for Combinatorial Optimization Problems (Intelligent Systems Reference Library, 57)

Pintea, Camelia-Mihaela

ISBN 10: 3642438776 ISBN 13: 9783642438776

Edit� par Springer, 2015

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"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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Titre : Advances in Bio-inspired Computing for ...
�diteur : Springer
Date d'�dition : 2015
Reliure : Couverture souple
Etat : New

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Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Camelia-Mihaela Pintea

Edit� par Springer Berlin Heidelberg, 2015

ISBN 10 : 3642438776 ISBN 13 : 9783642438776

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Etat : 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. N� de r�f. du vendeur 449056796

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Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Camelia-Mihaela Pintea

Edit� par Springer, 2015

ISBN 10 : 3642438776 ISBN 13 : 9783642438776

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Advances in Bio-inspired Computing for Combinatorial Optimization Problems (Intelligent Systems Reference Library, 57)

Pintea, Camelia-Mihaela

Edit� par Springer, 2015

ISBN 10 : 3642438776 ISBN 13 : 9783642438776

Neuf Couverture souple

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Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Pintea, Camelia-mihaela

Edit� par Springer, 2015

ISBN 10 : 3642438776 ISBN 13 : 9783642438776

Neuf Couverture souple

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Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Camelia-Mihaela Pintea

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2015, 2015

ISBN 10 : 3642438776 ISBN 13 : 9783642438776

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783642438776

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Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Camelia-Mihaela Pintea

Edit� par Springer Berlin Heidelberg, 2015

ISBN 10 : 3642438776 ISBN 13 : 9783642438776

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783642438776

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Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Camelia-Mihaela Pintea

Edit� par Springer Berlin Heidelberg Aug 2015, 2015

ISBN 10 : 3642438776 ISBN 13 : 9783642438776

Neuf Taschenbuch

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783642438776

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