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Investigation of selection strategies in parallel branch and bound algorithm with simplicial partitions

机译:具有简单分割的并行分支定界算法中选择策略的研究

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摘要

Efficiency of parallel branch and bound algorithms depends on the selection strategy. The influence to the performance of parallel MPI branch and bound algorithm with sim-plicial partitions and aggregate Lipschitz bound using different selection strategy is evaluated experimentally. The experiments have been performed solving a number of multidimensional test problems for global optimization.
机译:并行分支定界算法的效率取决于选择策略。实验评估了采用不同选择策略的简单分区和聚合Lipschitz绑定对并行MPI分支和绑定算法的性能的影响。已经进行了实验,解决了用于全局优化的许多多维测试问题。

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