Recent Advances in Evolutionary Computation for Combinatorial Optimization Contributor(s): Cotta, Carlos (Editor), Van Hemert, Jano (Editor) |
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ISBN: 3642089739 ISBN-13: 9783642089732 Publisher: Springer
Binding Type: Paperback - See All Available Formats & Editions Published: October 2010 Click for more in this series: Studies in Computational Intelligence |
Additional Information |
BISAC Categories: - Mathematics | Applied - Computers | Software Development & Engineering - General - Business & Economics | Operations Research |
Dewey: 005.1 |
Series: Studies in Computational Intelligence |
Physical Information: 0.74" H x 6.14" W x 9.21" L (1.10 lbs) 337 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Combinatorial optimisation is a ubiquitous discipline whose usefulness spans vast applications domains. The intrinsic complexity of most combinatorial optimisation problems makes classical methods unaffordable in many cases. To acquire practical solutions to these problems requires the use of metaheuristic approaches that trade completeness for pragmatic effectiveness. Such approaches are able to provide optimal or quasi-optimal solutions to a plethora of difficult combinatorial optimisation problems. The application of metaheuristics to combinatorial optimisation is an active field in which new theoretical developments, new algorithmic models, and new application areas are continuously emerging. This volume presents recent advances in the area of metaheuristic combinatorial optimisation, with a special focus on evolutionary computation methods. Moreover, it addresses local search methods and hybrid approaches. In this sense, the book includes cutting-edge theoretical, methodological, algorithmic and applied developments in the field, from respected experts and with a sound perspective. |
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