收稿日期:2022-08-05∗基金项目:陕西省教育科学“十四五”规划2021年度课题《新文科背景下应用型民办高校经管类学生创新创业能力培育路径研究》(SGH21Y0473)作者简介:张楠(1988-),女,陕西渭南人,硕士,讲师。低碳约束下冷链物流配送共享仓选址多目标优化方法∗张楠(西安财经大学行知学院,西安710038)摘要:针对当前冷链物流配送中心选址模型存在选址不合理、选址过程复杂,导致资源浪费和经济成本增加的问题,提出在低碳约束下,构建一个基于低碳约束冷链物流配送共享仓中心选址和路径优化模型,在粒子群算法的基础上,分别加入免疫算法和粒子群算法,得到改进免疫粒子群算法和混合粒子群算法,通过这两种算法分别实现共享仓中心选址求解快速寻优和多目标优化,以提升模型的路径优化能力和鲁棒性。实验结果表明,提出的方法改进免疫粒子群算法可在不同约束条件下实现冷链物流配送共享仓快速选址,且选择位置寻优求解速度提升;同时通过混合粒子群算法可实现物流路径优化,规避路径缺陷,从而提升路径优化能力,实现多目标优化路径的准确选址。关键词:低碳约束;冷链物流;选址模型;免疫粒子群算法;遗传算法中图分类号:TP392文献标识码:ADOI编码:10.14016/j.cnki.1001-9227.2023.01.057Multi-targetoptimizationmethodofcoldchainlogisticsdistributionsharedwarehouselocationunderlow-carbonconstraintZHANGNan(XingzhiCollegeofXi’anUniversityofFinanceandEconomics,Xi’an710038,China)Abstract:Inviewofthecurrentcoldchainlogisticsdistributioncenterlocationmodelisunreasonable,locationprocessiscomplex,resourcewasteandeconomiccostincrease,buildalowcarbonconstraint,basedonlowcarbonconstraintscoldchainlogisticsdistributionsharingwarehousecentersiteselectionandpathoptimizationmodel,onthebasisofimprovedparti-cleswarmalgorithm,addimmunealgorithmandparticleswarmalgorithm,improveimmuneparticleswarmalgorithmandmixedparticleswarmalgorithm,throughthetwoalgorithmssharingwarehousecenterlocationsolutionfastoptimizationandmulti-targetoptimization,toimprovethepathoptimizationabilityandrobustnessofthemodel.Theexperimentalresultsshowthattheproposedmethodcanrealizetherapidlocationofcoldchainlogisticsdistributionunderdifferentconstraints,andreal-izethelogisticspathoptimization,avoidpathdefects,improvethepat...
