基于两种进化模式的双种群协作差分演化算法

提出了一种基于两种进化模式的双种群协作差分演化算法(DPDE)。在DPDE中,两个种群通过协作共同进化。首先,各种群以不同的进化模式,通过个体竞争实现自身进化;其次,种群之间基于局部信息传递和共享机制,通过随机交换个体方式相互协作、共同进化,既实现了不同进化模式间的优势互补,又可以改善种群的多样性。对于5个典型Benchmark测试函数,通过与DE和DEfirDE算法的比较表明:DPDE具有更好的全局收敛性和鲁棒性,特别适合求解高维多模态函数的最优化问题。

Cooperation differential evolution algorithm with double populations and two evolutionary models

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.