Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Language: English

Published by Springer, Springer Aug 2015, 2015

3642438776 / 9783642438776

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This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 200 pp. Englisch.…

Seller Inventory # 9783642438776

Title
Advances in Bio-inspired Computing for Combinatorial Optimization Problems
Author
Camelia-Mihaela Pintea
Publisher
Springer, Springer Aug 2015
Publication year
2015
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3642438776
ISBN 13
9783642438776
Item weight
312 grams
Dimensions
235x155x12 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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