基于模糊粒子群算法的高等教育资源配置

摘要

The direct relationship of education and economy leads to a lot of economic efficiency of investment in education and investment interests.Many empirical analysis shows that investment in education can be calculated to determine its value.Fuzzy particle swarm optimization is a novel method for solving real problems by using both the fuzzy rules and the characteristics of particle swarm optimization.This paper successfully solves some distribution of higher educational resources problems by fuzzy particle swarm optimization.The computational results show the effectiveness and robustness of the algorithm in numerical simulation.%教育与经济的直接关联,引发了诸多的经济学研究教育投资及投资效率的兴趣。许多实证分析表明,教育的投入是可以通过计算产出来判断其价值的。本文在基本粒子群算法的基础上,加入了使用模糊规则表更新信息素的策略,提出了一种新的算法——模糊粒子群算法。算法结合了模糊控制中输入输出的模糊化处理和粒子群寻优的特点,为实际问题提供了新的解决手段。