【摘要】 研究了一种提高差分演化算法收敛速度的方法。这种新的演化优化方法将全体参量分为两个组群,即同化组群和进化组群。对不同的组群进行不同的处理以产生下一代,在每一代中,进化组群中最好的成员将有幸加入同化组群,取代同化组群中表现最差的成员。实验结果证明,这种新的改进提高了DE优化算法收敛速度。更多还原

【Abstract】 Differential Evolution(DE) is studied for improving its convergence performance.The total populations are divided into two swarms,assimilative swarm and evolutionary swarm.The different operations to generate offspring vector are implemented in different swarms.In each generation,the best member of evolutionary swarm will be exalted to join in the assimilative swarm to replace the worst performance member.Testing results verify that the new optimization strategy is robust.更多还原