基于双种群差分进化算法的输电网规划

Transmission Network Planning Based on Dual-Population Differential Evolution Algorithm

提出双种群结构的差分进化算法,子种群通过个体迁移实现信息共享,达到平衡算法探索与开发能力的目的。将所提双种群差分进化算法用于输电网规划的结果显示,该算法能够快速精确搜索到输电网规划全局的最优解和最优方案。

This paper puts forward a dual-population differential evolution algorithm, with which the sub-population realizes information sharing through individual migration to balance the algorithm exploration and capacity development. The results of applying proposed dual-population differential evolution algorithm in the transmission network planning show that this algorithm can quickly and accurately search search the optimal solution and optimal scheme of global transmission network planning.