为增强多目标分布估计算法(MEDA)的局部搜索能力,将细菌的觅食(BF)行为引入到多目标分布估计算法中,提出一种基于细菌觅食行为的多目标分布估计算法(MEDA-BF)。数值实验选取四个常用测试函数,并与NSGA-Ⅱ、MEDA两个多目标算法进行比较,结果表明MEDA-BF算法在收敛性和多样性两方面都有较好的性能。
In order to enhance the local search capability of multi-objective estimation of distribution algorithm(MEDA),this paper introduced bacterial foraging behavior into MEDA,proposed a multi-objective estimation of distribution based bacterial foraging(MEDA-BF).Numerical experiment compared with NSGA-II and MEDA on four benchmark problems.The numerical results show that the MEDA-BF algorithm has the better performance both in convergence and diversity.