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CN107767035A 一种基于遗传算法的电能表检测混合流水线调度方法 无效 - 驳回

一种基于遗传算法的电能表检测混合流水线调度方法
摘要：
本发明涉及电能表检测技术领域，具体涉及一种基于遗传算法的电能表检测混合流水线调度方法，包括：随机生成种群规模为N的初始化种群；计算所述种群中每个个体的目标值，以及每个个体的非支配等级和拥挤度；对种群中的个体进行交叉和变异操作得到子种群；将种群和子种群进行结合，计算结合后的种群中每个个体的目标值，以及每个个体的非支配等级和拥挤度；结合后的种群中每个个体的非支配等级和拥挤度选择N个个体形成新种群。本发明的调度方法兼顾了单一目标和多目标的模型，增加了调度方法的灵活性，同时具有更好的收敛性和多样性。
摘要（英）：

The invention relates to the technical field of electric energy detection and specifically relates to a genetic algorithm based hybrid flow line scheduling method for electric energy meter detection.The method includes generating an initial population having a population scale N randomly; calculating a target value of each individual in the population and the non-dominating level and crowding degree of each individual; performing intersection and mutation operation on individual in the population; combining the population with a child population, calculating the target value of each individual in the population obtained through combination and the non-dominating level and crowding degree of each individual; selecting N individuals from the population obtained through combination accordingto the non-dominating level and crowding degree of each individual for forming a new population. According to the invention, a model of single individual and multiple individuals is taken into account. Therefore, the flexibility of the scheduling method is improved. At the same time, better convergence and diversification are achieved.

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