Differential Evolution Algorithm Based on Hybrid Strategy
Liang Jin · Journal of Zhengzhou University · 2013
In this paper,a differential evolution algorithm based on hybrid strategy was proposed to solve the traditional differential evolution algorithm which is easy to convergence and premature in solving high-dimensional problems. This algorithm divided the population into three sub-populations of different sizes and different functions according to the fitness、standard deviation of fitness and distance of particles. Each sub-population used different strategies and parameters to achieve their specific functions. It not only enhances the global search ability of the population,but also increases the precision of convergence during the search process.Having tasted four classic benchmarks problems,the experiment results show that the proposed algorithm is an effective method for different optimization problems.