计算机与数字工程2018，Vol.46Issue(4)：663-666,693,5.DOI:10.3969/j.issn.1672-9722.2018.04.007
一种求解FDCP问题的有效算法
An Efficient Algorithm for Solving FDCP Problem
摘要
Abstract
Aiming at being hard to solve FDCP model in uncertainty programming field,a new hybird intelligent algorithm which used the fuzzy simulation and stochastic particle swarm optimization is proposed,fuzzy simulation is used to calculate fuzzy function,in SPSO,using fuzzy simulation to calculate fitness and detail steps is designed.it overcomes the defaults such as needing a long time,complex calculation,resapsing into local extremum in the hybird intelligence algorithm based on Genetic Algorithm,the numerical example is given to demonstrate effictiveness and reliability of the algorithm for FDCP,it has determinate applied value.关键词
随机微粒群算法/FDCP/模糊模拟Key words
SPSO/fyzzy dependent-chance programing/fuzzy simulation分类
数理科学引用本文复制引用
肖宁..一种求解FDCP问题的有效算法[J].计算机与数字工程,2018,46(4):663-666,693,5.基金项目
陕西省教育厅专项科研计划项目(编号:17JK0191)资助. （编号:17JK0191）
