摘要
针对动态系统中存在的因素规律分布问题,基于函数S-粗集,利用粒子群优化算法,提出S-粗聚合体、C*-粗聚合体的概念,给出C*-粗聚合决策矩阵及其生成分布矩阵,并给出了相应的适应度函数和函数迁移族及粒子迁移算法,实现了基于S-粗聚合体且同时满足不同分布律约束的决策,最后给出了基于C*-粗聚合决策的粒子群优化应用。
In view of factors distribution problems in the dynamic systems,using particle swarm optimization algorithm based on function S-rough sets,I propose the concept of S-rough polymer and C＊-rough polymer,yield C＊-rough polymerization decision matrix and distribution matrix it generated.The corresponding fitness function and function transfer family and the particle migration algorithm also be provided,realizing the decision that meeting different distribution law constraints as well as basing on S-rough polymers.At last,the applications of particle swarm optimization of decision based on C＊-rough polymerization is presented.
出处
《三明学院学报》
2010年第6期501-505,共5页
Journal of Sanming University
基金
福建省教育厅科技项目(JA09232)
三明学院科研基金项目(B0824/Q)
关键词
S-粗聚合体
粒子群优化算法
多目标决策
适应度函数
函数迁移族
S-Rough polymer
particle swarm optimization algorithm
multi-objective decision
fitness function
function transfer family
