摘要
研究同时收发的运输路径问题,要求运输工具到每个客户收取和发送一次完成,并且在运输工具容量的限制下,寻求每个运输工具的运输路径,使总运费为最少。提出两阶段的求解过程:先用启发式算法得到初始解,然后用层次禁忌搜索算法得到改进解。计算实验表明,同样规模的问题,算法所需时间比直接使用禁忌搜索算法要少。
The vehicle routing problem with simultaneous pick-up and delivery (VRPSPD) are studied. A vehicle can pick up and deliver the entire amount of a commodity available or required at a customer. A route is a circuit over some customers, starting and finishing at the depot. The VRPSPD consists of constructing at most K vehicle routes such that all pickup and delivery requests are satisfied, the load of a vehicle never exceeds its capacity and the sum of route costs is minimized. Two-phase algorithm, a heuristic to get an initiate and two-layered tabu search to obtain an improved solution, is presented. From computational experiments this algorithm is more effective than a simple tabu search algorithm.
出处
《科学技术与工程》
2009年第24期7301-7305,共5页
Science Technology and Engineering
基金
国家自然科学基金(20710015,08ZY78,07ZZ178)等项目资助
关键词
运输路径问题
收集发送
启发式
禁忌搜索
vehicle routing problem pick-up and delivery heuristic tabu search