Model and Algorithm for the 4PL Multi-Objects Routing Optimization Problem Based on Low Carbon Logistics
With the development of Low Carbon Economy,Low Carbon Logistics has attracted more and more researches attention.Logistics routing optimization is one of the important ways to reduce carbon emissions.Based on the analysis of practical problem,considered the cost,time and carbon emissions three properties of the route,a mathematical model of the point to point multi-objects routing optimization of the Fourth Party Logistics(4PL)is established.Through using the method of weight sum that considered the customers behavioral factors to tackle the multi-objects problem.Considering the characteristics of the problem,a double selection strategy Ant Colony Optimization(DACO)algorithm is designed for the problem.The algorithm is tested by example analysis and numerical analysis with different parameter values and different scale of the problem.The results suggest that the algorithm is effective and efficient.
Low Carbon Logistics Fourth Party Logistics (4PL) Multi-objects routing optimization problem double selection strategy Ant Colony Optimization (DACO)
Hu Guihong
College of Information Science and Engineering,Northeastern University;State Key Laboratory of Synthetical Automation for Process Industries(Northeastern University),Shenyang,Liaoning,110819,China;Department of Economics,Heze University,Shandong province Heze City,274015,China
国际会议
长沙
英文
3235-3238
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）