关键词: 鲸鱼优化算法, 黄金分割搜索, 非均匀变异, 电力负荷调度

Abstract: To improve global optimization performance of the whale optimization algorithm (WOA), an improved WOA based on the golden section search algorithm, called GWOA, is proposed. Firstly, the golden section algorithm is adopted in the algorithm to initiate the individuals’ position so as to enable the possibility of the initial population close to the global optimal solution. Secondly, the variable interval, which is formed by the process of golden section search, is introduced for non-uniform mutation operation, and this method improves the capacity of jumping out local optimum trap and enhances the diversity of particle. The proposed algorithm is first applied to 15 test functions and the experimental results show that the proposed algorithm has considerably improvement in solution precision and optimum efficiency and so on, and then, the simulation results of the power optimal load dispatch problems also show that the GWOA has good convergence property and better in quality of solution than other algorithms reported in recent literature.

Key words: whale optimization algorithm, golden section search algorithm, non-uniform mutation, optima load dispatch