Description: Advances in Bio-inspired Computing for Combinatorial Optimization Problems Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Camelia-Mihaela Pintea Format: Hardback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783642401787, 978-3642401787 Synopsis "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.
Price: 73.05 GBP
Location: Aldershot
End Time: 2025-02-04T09:12:06.000Z
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Book Title: Advances in Bio-inspired Computing for Combinatorial Optimizat...
Number of Pages: 188 Pages
Language: English
Publication Name: Advances in Bio-Inspired Computing for Combinatorial Optimization Problems
Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Publication Year: 2013
Subject: Computer Science, Management
Item Height: 235 mm
Item Weight: 4262 g
Type: Textbook
Author: Camelia-Mihaela Pintea
Subject Area: Data Analysis
Series: Intelligent Systems Reference Library
Item Width: 155 mm
Format: Hardcover
