摘要
不确定环境下的第四方物流路径优化问题,考虑到人们在不同情况下会有不同的行为特征,基于比例效用理论以及前景理论的价值函数,同时考虑运输任务的运输时间和运输成本,建立了第四方物流路径优化模型。分别采用枚举算法、蚁群系统和改进的蚁群算法对模型进行求解。通过算例,分析验证模型和算法的有效性。
Aiming at the fourth party logistics routing optimization problem under uncertain environment,by considering that people have different behavioral characteristics in different situations,by considering the transportation time and transportation cost of transportation tasks,the fourth party logistics routing optimization model is established based on the ratio utility theory and the value function of prospect theory.According to the characteristics that the fourth party logistics choose routes and the third party logistics simultaneously,an enumeration algorithm,an ant colony system and an improved ant colony algorithm areusedto solve the model.The effectiveness of the model and the algorithm is verified bynumerical examples.
作者
卢福强
高孟影
毕华玲
孔芝
LU Fuqiang;GAO Mengying;BI Hualing;KONG Zhi(School of Management,Northeastern University at Qinhuangdao,Qinhuangdao 066004,China;College of Information Science and Engineering,Northeastern University,Shenyang 110819,China)
出处
《复杂系统与复杂性科学》
EI
CSCD
2019年第4期66-81,共16页
Complex Systems and Complexity Science
基金
国家自然科学基金（71401027）
中央高校基本科研业务费项目（N172304016）
河北省自然科学基金（G2016501086）
河北省高等学校科学技术研究重点项目（ZD2016202）
关键词
第四方物流
拖期超支厌恶
路径优化
比例效用理论
蚁群算法
the fourth party logistics
tardiness and overspending aversion
routing optimization
ratio utility theory
antcolony algorithm
