Recent Advances in Evolutionary Computation for Combinatorial Optimization (Studies in Computational Intelligence, 153),Used

Recent Advances in Evolutionary Computation for Combinatorial Optimization (Studies in Computational Intelligence, 153),Used

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SKU: SONG3540708065
Brand: Springer
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Product 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 quasioptimal 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 cuttingedge theoretical, methodological, algorithmic and applied developments in the field, from respected experts and with a sound perspective. From the Back Cover 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 quasioptimal 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 metaheuristiccombinatorial optimisation, with a special focus on evolutionary computation methods. Moreover, it addresses local search methods and hybrid approaches. In this sense, the book includes cuttingedge theoretical, methodological, algorithmic and applied developments in the field, from respected experts and with a sound perspective.

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