Overview
- Outcome/post-conference volume of the Evo.
Part of the book series: Studies in Computational Intelligence (SCI, volume 153)
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About this book
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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Keywords
Table of contents (18 chapters)
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Theory and Methodology
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Hybrid Approaches
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Scheduling
Bibliographic Information
Book Title: Recent Advances in Evolutionary Computation for Combinatorial Optimization
Editors: Carlos Cotta, Jano Hemert
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-70807-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-70806-3Published: 26 August 2008
Softcover ISBN: 978-3-642-08973-2Published: 28 October 2010
eBook ISBN: 978-3-540-70807-0Published: 08 September 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVII, 337
Topics: Computer-Aided Engineering (CAD, CAE) and Design, Software Engineering/Programming and Operating Systems, Operations Research/Decision Theory, Mathematical and Computational Engineering, Software Engineering