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Parallel LAN/WAN Heuristics for Optimization

PublisherUniversidad de Malaga
Format142.9KB PDFDate added15 Jan 2003
Topics Local Area Networks (LAN), Wide Area Networks (WAN)
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The work in this paper presents a wide spectrum of results on analyzing the behavior of parallel heuristics for solving optimization problems. It focuses on evolutionary algorithms as well as on simulated annealing. The goal is to offer a first study on the possible changes in the search mechanics when shifting from a LAN distributed algorithm to a WAN environment. The paper will address six optimization tasks of considerable complexity. The results show that, despite the expected slower execution time, the WAN versions of the algorithms consistently solve the problems. It even reports some interesting results in which WAN algorithms outperform LAN ones. It also extends the study to include hybrid versions to check the scope of the conclusions.

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