基于小生境渔夫捕鱼算法的变电站规划

Optimal substation planning based on niche fisher fishing algorithm

针对渔夫捕鱼算法容易陷入局部最优的不足,提出了一种共享适应度的小生境策略来提高基本渔夫捕鱼算法的全局寻优能力,并应用于解决配电网络变电站规划。由个体之间相互距离进行聚类组成小生境种群,并在生成的不同小生境种群内运用渔夫捕鱼算法进行寻优,在进行目标函数计境种群内利用共享机制改变个体适应度进一步提高群体全局寻优能力。通过实际算例分析,证明了所提方法能较好地解决变电站选址定容问题。

In view of the shortage of the fisher fishing algorithm easily falling into local optimum, a niche fisher fishing algorithm is proposed to improve the global optimization capability of basic fisher fishing algorithm, and applied to solve distribution network substation planning problem. This paper composes niche groups according to the distance between the various entities on the basis of the basic fisher fishing algorithm, and conducts the optimization by using fisher fishing algorithm in niche groups. For the updated groups, according to the distance between the individuals, the shared mechanism is used to change their fitness, and to improve the global search ability of the entire group. Through the calculation and analysis of the given test case, the results show a high convergence success rate and better solution of this algorithm for the substation locating and sizing issues.