随着新等位基因在每个群体中独立突变产生，它们在许多遗传位点上的等位基因频率逐渐变得越来越不同。
Their allele frequencies at numerous genetic loci gradually become more and more different as new alleles independently arise by mutation in each population.
与其他混合最优化算法不同的是，该算法没有破坏粒子群和遗传算法的独立性，而是仅通过全局最优样本把两个算法结合在一起。
It selects the optimaler number as a global optimum at every circulation, which makes its result be better than both PSO and GA, then improves the overall performance of the algorithm.
应用推荐