1) Multi-population Optimization
多种群优化
2) multi-population collaborative optimization
多种群协同优化
1.
For the problem of rule extraction in text categorization,a novel rule extraction approach to text categorization based on multi-population collaborative optimization was proposed.
针对文奉分类中的规则抽取问题,提出一种基于多种群协同优化的文奉分类规则抽取方法。
4) Multi particle swarm optimization(MPSO)
多种群微粒群优化算法(MPSO)
5) multi-swarm cooperative particle swarm optimization algorithm
多种群协同粒子群优化算法
1.
An improved multi-swarm cooperative particle swarm optimization algorithm was presented to solve the proposed optimal power flow.
最优潮流的求解采用改进的多种群协同粒子群优化算法。
6) multi-species evolution algorithm
多种群进化
1.
For design of multi-objective decision,a new method of multi-objective parallel game design basing on multi-species evolution algorithm has been raised and carried out by Fortran.
针对多目标决策问题,提出一种基于多种群进化算法的多目标并行博弈设计方法,利用Fortran语言编制了相应计算程序。
补充资料：种群增长率(见种群出生率)
种群增长率(见种群出生率)
种群增长率见种群出生率。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条