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Parallel continuous simulated annealing for global optimization

机译:并行连续模拟退火以进行全局优化

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摘要

In this paper a parallel algorithm for simulated annealing (SA) in the continuous case, the Multiple Trials and Adaptive Supplementary Search, MTASS algorithm, is presented. It is based on a combination of multiple trials, local improved searches and an adaptive cooling schedule. The results in optimizing some standard test problems are compared with some SA sequential algorithms and another parallel probabilistic algorithm.
机译:本文提出了一种连续情况下的模拟退火(SA)并行算法,即多重试验和自适应补充搜索MTASS算法。它基于多种试验,局部改进的搜索和自适应冷却时间表的组合。将优化一些标准测试问题的结果与一些SA顺序算法和另一个并行概率算法进行比较。

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