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Erschienen in:
2008 | OriginalPaper | Buchkapitel
An Adaptive Metaheuristic for the Simultaneous Resolution of a Set of Instances
verfasst von : Antonio D. Masegosa, Alejandro Sancho Royo, David Pelta
Erschienen in: Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)
Verlag: Springer Berlin Heidelberg
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Most of the adaptive metaheuristics face the resolution of an instance from scratch, without considering previous runs. Basing on the idea that the computa- tional effort done and knowledge gained when solving an instance should be use to solve similar ones, we present a new metaheuristic strategy that permits the simul- taneous solution of a group of instances. The strategy is based on a set of adaptive operators that works on several sets of solutions belonging to different problem in- stances. The method has been tested on MAX-SAT with sets of various instances obtaining promising results.