Recent Advances in Evolutionary Computation for Combinatorial Optimization

August 26, 2008|
Recent Advances in Evolutionary Computation for Combinatorial Optimization by Carlos Cotta
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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.

Title:Recent Advances in Evolutionary Computation for Combinatorial Optimization
Format:Hardcover
Product dimensions:337 pages, 9.25 X 6.1 X 0 in
Shipping dimensions:337 pages, 9.25 X 6.1 X 0 in
Published:August 26, 2008
Publisher:Springer-Verlag/Sci-Tech/Trade
Language:English
Appropriate for ages:All ages
ISBN - 13:9783540708063

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