Novel hybrid intelligent evolutionary algorithm for dynamic optimization problems
Lili Tao, Fan Sun, Zhihua Hu, Bin Xu · 2018
Dynamic optimization is used to make a performance index optimal by controlling operational variables in dynamic model. Intelligent algorithms based on intelligent evolutionary become popular for solving dynamic optimization problems. The general methods based on the gradient method cannot handle the cases that the gradients are not available. For solving this problem, a hybrid genetic algorithm combining the differential evolution and artificial fish swarm algorithm is proposed. The proposed algorithm is successfully tested on several cases and the results show the feasibility and efficiency of the proposed methods.