第28卷第1期2023年2月工业工程与管理IndustrialEngineeringandManagementVol.28No.1Feb.2023考虑多种污染气体排放的集装箱码头泊位-岸桥-集卡集成调度优化王丹,李丹阳,赵利昕,徐卉,黄肖玲,范厚明(大连海事大学交通运输工程学院,辽宁大连116026)摘要:在对集装箱码头的核心作业过程进行分析的基础上,建立了基于船舶在港延迟时间最短和多种污染气体排放最少的泊位-岸桥-集卡的集成调度优化模型,并设计了一种基于量子局部搜索的非支配排序遗传算法(QNSGA-Ⅱ)。最后以某港口为例进行了实证分析,并将QNSGA-Ⅱ算法与非支配排序算法(NSGA-Ⅱ)和多目标粒子群优化算法(MOPSO)进行了比较。结果表明:QNSGA-Ⅱ算法在帕累托边界的完整性、分布均匀性和收敛性方面均得到了显著提高;港口区域产生的污染物排放量与延迟时间之间存在负相关关系,如果港口盲目追求高服务效率,将导致港口地区污染物排放量的大量增加。关键词:集装箱港口;集成调度;污染物排放;量子局部搜索;非支配排序遗传算法中图分类号:F550文献标识码:AOptimizationofContainerTerminal'sIntegratedSchedulingofBerths,QuayCraneandInternalTrucksConsideringPollutantEmissionsWANGDan,LIDanyang,ZHAOLixin,XUHui,HUANGXiaoling,FANHouming(TransportationEngineeringCollege,DalianMaritimeUniversity,Dalian,Liaoning116026,China)Abstract:Basedontheanalysisofthecoreoperationprocessofthecontainerterminal,theintegratedschedulingoptimizationproblemofberths,quaycranesandinternaltrucksincontainerterminalsconsideringpollutantemissionswasputforward,whichminimizedthecostofshipdelaytimeinportandthecostofportemissions.Aquantumnon-dominatedsortinggeneticalgorithmⅡbasedonquantumbehavior(QNSGA-Ⅱ)wasdesignedtosolvetheproblem.Finally,anempiricalanalysisofoneportwascarriedoutasanexample,andQNSGA-Ⅱwascomparedwiththenon-dominatedsortinggeneticalgorithmⅡ(NSGA-Ⅱ)andthemulti-objectiveparticleswarmoptimizationalgorithm(MOPSO)respectively.TheresultsshowthattheQNSGA-ⅡhassignificantlyimprovedthecompletenessoftheParetoboundary,theuniformityofthedistribution,andtheconvergenceofthealgorithm.Inaddition,thereisanegativecorrelationbetweenthepollutantemissionsandthedelaytime.Iftheportblind...