关键词: 聚散算法, 重复存档, 种群重置, 聚集算子, 分散算子

Abstract: In order to integrate the optimization methods and ideas into the research of swarm intelligence,the strategies of allowing duplicate archiving and population reset,gathering operator and dispersion operator were proposed.The mathematical principles and the performance of these operators were analyzed.Based on these operations,a new heuristic algorithm,Gathering and Dispersion(GAD) optimization algorithm was proposed.Then,the proposed GAD algorithm was compared with four classical heuristic algorithmed(SPSO2011,CoDE,SaDE and IGHS)based on 20 classic benchmark.Results showed that GAD algorithm outperformed other competitors.It indicated that the proposed operations and the idea of popularizing GAD algorithm was effective.

Key words: gathering and dispersion algorithm, duplicate archiving, population reset, gather operator, dispersion operator