Recent advances in evolutionary computation for combinatorial optimization /

Saved in:
Bibliographic Details
Imprint:Berlin : Springer, ©2008.
Description:1 online resource (xvii, 336 pages) : illustrations.
Language:English
Series:Studies in computational intelligence ; v. 153
Studies in computational intelligence ; v. 153.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11070026
Hidden Bibliographic Details
Other authors / contributors:Cotta, Carlos.
Van Hemert, Jano.
ISBN:9783540708070
3540708073
9783540708063
3540708065
Digital file characteristics:text file PDF
Notes:Includes bibliographical references (pages 309-331)-and indexes.
Print version record.
Summary: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.
Other form:Print version: Recent advances in evolutionary computation for combinatorial optimization. Berlin : Springer, ©2008 9783540708063
Standard no.:10.1007/978-3-540-70807-0