An improved selection strategy differential evolution algorithm for reconfiguration of shipboard power system

In allusion to oneness problem of optimal solution in shipboard power system (SPS) network reconfiguration, an improved elitist selection strategy of differential evolution algorithm is proposed. The improved selection strategy which based on nondominated front and crowding distance is introduced into the differential evolution (DE) algorithm. Which enhance the uniformity and diversity of optimal solution. In order to enhance the quality of the population, the chaotic initialization based on Tent map is adopted to initialize the population. Adaptive mutation and crossover operator are introduced to accelerate the convergence of solution. Experiment results show that the improved algorithm not only keep the speed of convergence, but also improve the diversity and uniformity of optimal solution.