Research on Dynamic Population Differential Evolution Algorithm
Jia-Xi Du · Journal of Suzhou University of Science and Technology · 2011
Since the standard differential evolution is easy to fall into premature convergence,the paper presented a Dynamic Population Differential Evolution Algorithm(DPDE) which was based on simulating the evolution developing history of human races.The population was divided into several subpopulations in DPDE,and the numbers of subpopulations was dynamically controlled by merging and dividing,which could enhance the searching capacity of the algorithm.Finally,three experiments were made on benchmark functions.The results show that DPDE has a good global searching capacity than DE and can avoid premature convergence.