A solution to unit commitment via an enhanced binary particle swarm optimization (BPSO) algorithm is presented.

文中提出了一种基于改进离散粒子群优化算法求解机组组合问题的新方法。

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For random 3-sat test instances, the numeral experiment indicate that DS_BPSO has the advantage over BPSO algorithm.

对随机3 - SAT测试实例的数值计算表明：该算法的性能远远超过BPSO算法。

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Binary Particle Swarm Optimization (BPSO) is applied to solve the problem of distribution network reconfiguration in this paper.

在优化算法上，采用了二进制粒子群算法来进行配电网重构最优方案的搜索。

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Binary Particle Swarm Optimization (BPSO) is applied to solve the problem of distribution network reconfiguration in this paper.

在优化算法上，采用了二进制粒子群算法来进行配电网重构最优方案的搜索。

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