Macrogamete sampling strategy of ethnic group clustering
族群聚类的大配子采样策略

In ethnic group evolution algorithm (EGEA), making ethnic group clustering in macrogamete can improve the structure of ethnic group while reducing the computing time.This paper proposed two kinds of macrogamete sampling strategies, parameter based sampling strategy and ranking truncation strategy.The simulations of unconstrained numerical optimization show self-adaptation parameter sampling strategy improve the searching efficiency of EGEA greatly.