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The decision making method for power purchase and distribution planning with a new adaptive genetic algorithm

机译:一种新的自适应遗传算法的购电规划决策方法

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摘要

In this paper, an improved adaptive genetic algorithm is applied to the proposed power purchase and distribution planning model. The new genetic algorithm adopts new method to get crossover probability. In the late evolutionary stage, there is only mutation operation, crossover probability is zero. Example analysis shows that the new algorithm has good performance in searching the better distribution scheme. It can obtain an excellent distribution scheme for the example which proposed in the paper.
机译:本文将一种改进的自适应遗传算法应用于提出的购电和配电计划模型。新的遗传算法采用新的方法来获得交叉概率。在进化后期,只有突变操作,交叉概率为零。实例分析表明,该新算法在寻找较好的分配方案方面具有良好的性能。对于本文提出的示例,它可以获得良好的分配方案。

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