系统工程学报
繫統工程學報
계통공정학보
JOURNAL OF SYSTEMS ENGINEERING
2010年
1期
91-97
,共7页
张军%唐加福%潘震东%孔媛
張軍%唐加福%潘震東%孔媛
장군%당가복%반진동%공원
车辆路径问题%货物权重%分散搜索算法
車輛路徑問題%貨物權重%分散搜索算法
차량로경문제%화물권중%분산수색산법
vehicle routing problem%cargo coefficient%scatter search algorithm
研究了由一个分销中心、多个零售商组成的分销网络中运输单产品考虑货物权重的车辆路径问题(weighted vehicle routing problem, WVRP). 问题的目标是设计合理的路线最小化由于行驶距离,运输载重量及使用车辆而产生的总费用. 针对问题的特点,设计了求解WVRP问题的分散搜索算法(scatter search algorithm, SS),该算法基于客户进行编码,以基于最优划分过程的随机初始化作为多样性产生方法,通过对不同解包括的弧组合来生成新解,并用最近邻法对解进行改进. 分别采用了随机数据与标准数据对算法进行测试,并与其他求解该问题的算法进行了比较,说明了算法的有效性.
研究瞭由一箇分銷中心、多箇零售商組成的分銷網絡中運輸單產品攷慮貨物權重的車輛路徑問題(weighted vehicle routing problem, WVRP). 問題的目標是設計閤理的路線最小化由于行駛距離,運輸載重量及使用車輛而產生的總費用. 針對問題的特點,設計瞭求解WVRP問題的分散搜索算法(scatter search algorithm, SS),該算法基于客戶進行編碼,以基于最優劃分過程的隨機初始化作為多樣性產生方法,通過對不同解包括的弧組閤來生成新解,併用最近鄰法對解進行改進. 分彆採用瞭隨機數據與標準數據對算法進行測試,併與其他求解該問題的算法進行瞭比較,說明瞭算法的有效性.
연구료유일개분소중심、다개령수상조성적분소망락중운수단산품고필화물권중적차량로경문제(weighted vehicle routing problem, WVRP). 문제적목표시설계합리적로선최소화유우행사거리,운수재중량급사용차량이산생적총비용. 침대문제적특점,설계료구해WVRP문제적분산수색산법(scatter search algorithm, SS),해산법기우객호진행편마,이기우최우화분과정적수궤초시화작위다양성산생방법,통과대불동해포괄적호조합래생성신해,병용최근린법대해진행개진. 분별채용료수궤수거여표준수거대산법진행측시,병여기타구해해문제적산법진행료비교,설명료산법적유효성.
In a distribution network with one warehouse and multiple retailers, a weighted vehicle routing problem ( WVRP) for transporting one kind of production is considered. The objective of the WVRP is to arrange a reasonable route so as to minimize the total cost of traveling cost, cost relating to cargo weight and dispatching cost. In the light of the characteristic of the problem, a scatter search (SS) algorithm is designed. The code of the algorithm is based on customers. The random initialization based on optimal splitting procedure is used as diversity generation method and a new solution is produced through the arc combination of different solutions. The solution is improved by using the nearest neighbor method. Through testing the data produced stochastically and the benchmark data, the results of the SS and other algorithms are contrasted. The results show the validity of the proposed SS algorithm