工业工程2018,Vol.21Issue(1):83-88,6.DOI:10.3969/j.issn.1007-7375.e17-1046
基于实时交通信息的灾后应急物流多源配送优化问题
A Multi-Source Distribution Optimization of Post-disaster Emergency Logistics Based on Real-Time Traffic Information
摘要
Abstract
For emergency scheduling and distribution after disaster, the three-level multi-source distribution system is treated as a research object. A mathematical model about maximum satisfaction level is constructed based on equity. In the model, the effect of updating real-time traffic information on distribution scheme is taken into account. Also, a hybrid genetic algorithm with tabu search algorithm is improved. The results show that the real-time traffic information has a higher degree of disaster satisfaction and faster response than static scenarios.关键词
灾后应急物流/多源配送优化/实时交通信息/混合遗传算法Key words
post-emergency logistics/multi-source distribution optimization/real-time traffic information/hybrid genetic algorithm分类
管理科学引用本文复制引用
胡忠君,刘艳秋,李佳..基于实时交通信息的灾后应急物流多源配送优化问题[J].工业工程,2018,21(1):83-88,6.基金项目
国家自然科学基金资助项目(70431003) (70431003)