1) multi-species cooperative
多种群协同进化
1.
Evolutionary design of RBF neural network based on multi-species cooperative particle swarm optimizer;
基于多种群协同进化微粒群算法的径向基神经网络设计
2) strategy of multi-population co-evolution
多种群协同进化策略
1.
Secondly,it points out that sustainable development of virtual enterprise can be achieved by using gene recombinant technique based on strategy of multi-population co-evolution.
其次,在此基础上提出了采用多种群协同进化策略,通过生物学中的基因重组技术来实现虚拟企业可持续发展的思路。
3) 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) species coevolution
多物种协同进化
1.
After demonstrating the necessity of combining Genetic Algorithm(GA) and Neural Networks(NN),this paper points out the shortcomings of the common NN structure optimization method based on GA,and gives a new method based on the species coevolution.
论文在阐明了遗传算法和神经网络结合的必要性之后,分析了一般遗传算法在神经网络结构优化过程中存在的不足,并根据多物种之间相互竞争和相互适应的机理提出了一种基于多物种协同进化的优化方法。
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：拟态(见协同进化)
拟态(见协同进化)
拟态见协同进化
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