摘要
为了解决应急救援中心的选址问题,本文假定受灾点需求为模糊随机变量,建立了满足时间紧迫性要求的以总运输成本最小为目标的应急救援中心选址优化模型,并结合模糊随机模拟技术和遗传算法提出一种求解上述模型的有效算法。通过算例验证了模型的实用性和算法的有效性,并在此基础上与直接搜索法和贪婪算法进行了比较,得到:本文所采取的算法能够得到较好的求解结果。
In order to solve the location problem of emergency relief centers,we assume that the demand for disasters is fuzzy stochastic,then develop a model for optimizing emergency relief center location.The model considers time requirement and aims to achieve minimization of total transportation cost.An algorithm combining fuzzy random simulation with genetic algorithm is introduced to solve the proposed model.At last,a numerical example is given to demonstrate the practicability of the model and effectiveness of the algorithm,and then perform the comparison among the proposed algorithm,pattern search and greedy algorithm.It is shown that the proposed algorithm is superior to other methods.
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2012年第5期73-77,共5页
Operations Research and Management Science
基金
国家自然科学基金资助项目(70973074)
关键词
物流管理
选址优化
模糊随机模拟
应急救援中心
logistics management
location optimization
fuzzy random simulation
emergency relief center
