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Random Search Algorithm for the Generalized Weber Problem
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作者 lev kazakovtsev 《Journal of Software Engineering and Applications》 2012年第12期59-65,共7页
In this paper, we consider the planar multi-facility Weber problem with restricted zones and non-Euclidean distances, propose an algorithm based on the probability changing method (special kind of genetic algorithms) ... In this paper, we consider the planar multi-facility Weber problem with restricted zones and non-Euclidean distances, propose an algorithm based on the probability changing method (special kind of genetic algorithms) and prove its efficiency for approximate solving this problem by replacing the continuous coordinate values by discrete ones. Version of the algorithm for multiprocessor systems is proposed. Experimental results for a high-performance cluster are given. 展开更多
关键词 DISCRETE Optimization WEBER Problem RANDOM SEARCH GENETIC Algorithms Parallel ALGORITHM
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