Global Optimization Based on Hybrid Adaptive Differential Evolution Algorithm and Sooty Tern Optimization Algorithm
Hui Yang, Luo Jin, Mingyue Yang, Li Jin, Jiabo Jian · 2022
This paper proposes a hybrid algorithm combining STOA and DE, called STOA-ADE, for optimization problems. In STOA-ADE. Firstly, a mechanism of selecting mutation operators according to the diversity of the population is proposed to produce higher quality solutions. Further, based on the fitness value and diversity of the population, STOA is applied to the excellent individuals to improve the quality of the solution. The algorithm is tested on cec2015 benchmark function problems. The experiment proves that the strategy mechanism and algorithm proposed in this paper are effective and competitive.