Models for Location Inventory Routing Problem of Cold Chain Logistics with NSGA-Ⅱ Algorithm

作     者：郑建国 李康 伍大清 

作者机构：Glorious Sun School of Business and ManagementDonghua University School of Computer Science and TechnologyUniversity of South China 

出 版 物：《Journal of Donghua University(English Edition)》 (东华大学学报（英文版）)

年 卷 期：2017年第34卷第4期

页      面：533-539页

学科分类：12[管理学] 02[经济学] 0202[经济学-应用经济学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 020205[经济学-产业经济学] 

基　　金：Natural Science Foundation of Shanghai,China(No.15ZR1401600) the Fundamental Research Funds for the Central Universities,China(No.CUSF-DH-D-2015096) 

主　　题：cold chain logistics multi-objective location inventory routing problem(LIRP) non-dominated sorting in genetic algorithm Ⅱ(NSGA-Ⅱ) 

摘      要：In this paper,a novel location inventory routing(LIR)model is proposed to solve cold chain logistics network problem under uncertain demand environment. The goal of the developed model is to optimize costs of location,inventory and *** to the complex of LIR problem( LIRP), a multi-objective genetic algorithm(GA), non-dominated sorting in genetic algorithm Ⅱ( NSGA-Ⅱ) has been introduced. Its performance is tested over a real case for the proposed problems. Results indicate that NSGA-Ⅱ provides a competitive performance than GA,which demonstrates that the proposed model and multi-objective GA are considerably efficient to solve the problem.