人工蜂群算法在再制造物流网络优化中的应用  

The Application of Artificial Bee Colony Algorithm in Remanufacturing Logistics Network Optimization

作　　者：杨粟涵 张平华 于蕾 YANG Suhan;ZHANG Pinghua;YU Lei(Hefei Technology College,Hefei Anhui 230011)

机构地区：[1]合肥职业技术学院

出　　处：《河南科技》2019年第32期11-14,共4页Henan Science and Technology

基　　金：合肥职业技术学院校级人文社科一般项目“基于遗传神经网络的城市区域圈物流需求预测——以合肥都市圈为例”（201914SKB006）;安徽省高校自然科学研究重点项目“雾霾天气PM2.5预测模型构建与应用研究”（KJ2018A0827）;国家重点研发计划项目“伊朗农业水资源及水分利用精准检测与变化分析”（YS2018YFE011677）;安徽省教育厅自然科学重点项目“基于遗传神经网络算法的合肥城市区域圈物流需求预测研究”（KJ2019A1146）;安徽省教育厅人文社科重点项目“基于遗传算法的快递配送路径优化问题研究”（SK2019A0947）

摘　　要：在供给侧结构性改革大背景下,基于产品回收和再制造,有必要构建合理的再制造物流网络,以提升供应链管理水平。人工蜂群算法性能优越,具有很强的全局收敛性和贪婪启发式的搜索特征。本文建立再制造物流网络模型,运用人工蜂群算法,结合实际问题进行算法设计,对模型进行编码仿真,得到网络设施的位置和数量,使整个再制造物流网络最优。In the context of supply-side structural reform,based on product recycling and remanufacturing,it is nec?essary to build a reasonable remanufacturing logistics network to improve the level of supply chain management.The artificial bee colony algorithm has superior performance,and has strong global convergence and greedy heuristic search features.In this paper,a remanufacturing logistics network model was established,and the artificial bee colo?ny algorithm was used to design the algorithm in combination with actual problems,and the model was coded and sim?ulated to obtain the location and number of network facilities to optimize the entire remanufacturing logistics network.

关 键 词：再制造 人工蜂群算法 算法设计 设施选址 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]