改进蛙跳算法在输电网规划中的应用

传统蛙跳算法（SFLA）具有高效计算性能和全局搜索能力,但容易出现早熟。针对早熟问题,通过对局部搜索步长和搜索策略进行改进,并将高斯变异算子引入算法当中,形成改进蛙跳算法（ISFLA）,并将其应用于输电网规划模型的求解中。通过对IEEE6节点和IEEE18节点系统的计算,证明了与传统蛙跳算法相比,改进后的算法寻优精度和收敛速度均得到了有效提高,具有较好的适应性。

Application of Improved Shuffled Frog Leaping Algorithm in Transmission Network Planning

Although the shuffled frog leaping algorithm(SFLA) shows efficient computational performance and the global search ability,it is prone to early maturity. As to the problem of early-maturing,local search steps and strategies have been improved and Gaussian mutation operator has been introduced into the algorithm.Improved frog leaping algorithm(ISFLA) has been established and applied in power grids planning for solving the model.The calculation on IEEE 6 system and IEEE18 system verified that the optimization precision and convergence speed of the improved algorithm have been effectively improved compared with basic frog leaping algorithm and shows better adaptability.