计算机工程与设计
計算機工程與設計
계산궤공정여설계
Computer Engineering and Design
2015年
11期
3145-3150
,共6页
集装箱港口%遗传算法%动态分配%作业路%堆场计划
集裝箱港口%遺傳算法%動態分配%作業路%堆場計劃
집장상항구%유전산법%동태분배%작업로%퇴장계화
container terminal%genetic algorithm%dynamic allocation%QCs operating lines%yard planning
为解决集装箱港口堆存计划问题，考虑堆场箱区容量的动态变化，以进出口箱混合堆存和每条作业路任务量已知为前提，提出一种基于遗传算法（genetic algorithm ，GA）的集装箱港口空间动态分配策略。要求每条作业路卸载的进口箱必须堆放在不同箱区，保证船舶堆存的箱区既集中又分散。对Lingo和遗传算法求解的结果进行比较，比较结果表明了该遗传算法的优越性。
為解決集裝箱港口堆存計劃問題，攷慮堆場箱區容量的動態變化，以進齣口箱混閤堆存和每條作業路任務量已知為前提，提齣一種基于遺傳算法（genetic algorithm ，GA）的集裝箱港口空間動態分配策略。要求每條作業路卸載的進口箱必鬚堆放在不同箱區，保證船舶堆存的箱區既集中又分散。對Lingo和遺傳算法求解的結果進行比較，比較結果錶明瞭該遺傳算法的優越性。
위해결집장상항구퇴존계화문제，고필퇴장상구용량적동태변화，이진출구상혼합퇴존화매조작업로임무량이지위전제，제출일충기우유전산법（genetic algorithm ，GA）적집장상항구공간동태분배책략。요구매조작업로사재적진구상필수퇴방재불동상구，보증선박퇴존적상구기집중우분산。대Lingo화유전산법구해적결과진행비교，비교결과표명료해유전산법적우월성。
To solve the yard planning problem of container terminal ,considering the dynamic changes of the block capacity ,on the premise of the mixed storage ,a storage space allocation model based on the work of QCs operating lines was built .Contai‐ners from different QCs operating lines of one vessel need to be stocked in different blocks .The blocks the vessel stocked were centralized and decentralized .A genetic algorithm (GA) was proposed to solve the model .Compared to the solution of Lingo and GA ,the superiority of GA is verified .
