Parallel Tabu Search and the multiobjective Capacitated Vehicle Routing Problem with soft Time Windows

被引:0
|
作者
Beham, Andreas [1 ]
机构
[1] Johannes Kepler Univ Linz, Inst Formal Models & Verificat, A-4040 Linz, Austria
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中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper the author presents three approaches to parallel Tabu Search, applied to several instances of the Capacitated Vehicle Routing Problem with soft Time Windows (CVRPsTW). The Tabu Search algorithms are of two kinds: Two of them are parallel with respect to functional decomposition and one approach is a collaborative multisearch TS. The implementation builds upon a framework called Distributed metaheuristics or DEME for short. Tests were performed on an SGI Origin 3800 supercomputer at the Johannes Kepler University of Linz, Austria.
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页码:829 / 836
页数:8
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