• 高频变异 - 引用次数：3

  In this paper, a modified immune particle swarm optimization algorithm is proposed to solve the optimal scheduling problem. The intersection operation and high frequency variation is introduced to keep the population’s diversity and avoid early ripe of PSO.

  本文在现有的免疫粒子群算法的基础上,提出了改进的免疫粒子群优化算法,使用交叉和高频变异操作,以保证种群进化的多样性,克服粒子群算法的早熟现象。

  参考来源 - 改进的免疫粒子群算法及梯级水库优化调度问题的研究
• 高频变异 - 引用次数：2

  In this paper, a modified immune particle swarm optimization algorithm is proposed to solve the optimal scheduling problem. The intersection operation and high frequency variation is introduced to keep the population’s diversity and avoid early ripe of PSO.

  本文在现有的免疫粒子群算法的基础上,提出了改进的免疫粒子群优化算法,使用交叉和高频变异操作,以保证种群进化的多样性,克服粒子群算法的早熟现象。

  参考来源 - 改进的免疫粒子群算法及梯级水库优化调度问题的研究

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