摘要
提出了一种基于改进微粒群算法的直觉模糊整数规划。首先定义了目标函数和约束函数的隶属和非隶属函数,通过直觉模糊"最小-最大"算子,提出了直觉模糊整数规划模型;然后通过对微粒群算法进行改进,对直觉模糊整数规划进行了求解,并通过一个算例表明本文的算法性能优于其他几种算法。
A model of intuitionistic fuzzy integer programming based on modified particle swarm optimization was presented in this paper. Firstly, membership and non - membership functions of object and constrain functions were defined. Secondly, intuitionistic fuzzy integer programming model was presented based on intuitionistic fuzzy ＂min-max＂ operator. Then, intuitionistic fuzzy integer programming was resolved by improving particle swarm optimization. At last, a typical experiment indicates that the performance of presented algorithm is better than other algorithms.
出处
《计算机应用》
CSCD
北大核心
2008年第9期2395-2397,共3页
journal of Computer Applications
基金
国家自然科学基金资助项目(60773209)
陕西省自然科学基金资助项目(2006F18)
关键词
直觉模糊整数规划
进化算法
非线性规划
Intuitionistic Fuzzy Integer Programming （IFIP）
evolution algorithm
non-linear programming
