Cooperation differential evolution algorithm with double populations and two evolutionary models
Wang Peichong, Yichao He, Qian Xu · Computer Engineering and Applications Journal · 2008
Propose a cooperation differential evolution algorithm with double populations and two evolutionary models(DPDE).There are two populations in DPDE.First,each population has its evolutionary model,and they finish evolution by different evolutionary model independently.Secondly,they implement coevolution based on local information transfer and share between populations.It not only realizes developing advantages and avoiding disadvantages,but also adjusts population diversity.Comparing with DE and DEfirDE using five typical Benchmark functions,the results show that DPDE has superior global convergence and robust,especially fit for solving multimode and high dimension function optimization problems.