A meta-heuristic algorithm for heterogeneous fleet vehicle routing problems with two-dimensional loading constraints
A meta-heuristic algorithm for heterogeneous fleet vehicle routing problems with two-dimensional loading constraints
复制标题
具有二维负载约束的异构车队车辆路径问题的元启发式算法
DOI:
10.1016/j.ejor.2012.09.023
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发表时间:
2013-03
影响因子:
6.4
通讯作者:
Ming K. Lim
中科院分区:
文献类型:
--
作者:
Zhenzhen Zhang;Defu Zhang;Xian Hua;Ming K. Lim
The two-dimensional loading heterogeneous fleet vehicle routing problem (2L-HFVRP) is a variant of the classical vehicle routing problem in which customers are served by a heterogeneous fleet of vehicles. These vehicles have different capacities, fixed and variable operating costs, length and width in dimension, and two-dimensional loading constraints. The objective of this problem is to minimize transportation cost of designed routes, according to which vehicles are used, to satisfy the customer demand. In this study, we proposed a simulated annealing with heuristic local search (SA_HLS) to solve the problem and the search was then extended with a collection of packing heuristics to solve the loading constraints in 2L-HFVRP. To speed up the search process, a data structure was used to record the information related to loading feasibility. The effectiveness of SA_HLS was tested on benchmark instances derived from the two-dimensional loading vehicle routing problem (2L-CVRP). In addition, the performance of SA_HLS was also compared with three other 2L-CVRP models and four HFVRP methods found in the literature.
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影响因子:
3.6
作者:
C. Waters
通讯作者:
C. Waters
DOI:
10.1016/j.engappai.2008.10.006
发表时间:
2009-09
期刊:
Eng. Appl. Artif. Intell.
影响因子:
--
作者:
C. Prins
通讯作者:
C. Prins
影响因子:
3.6
作者:
T. Crainic;G. Laporte
通讯作者:
T. Crainic;G. Laporte
DOI:
10.1007/978-3-540-89484-1_10
发表时间:
2009
期刊:
--
影响因子:
--
作者:
Baoding Liu
通讯作者:
Baoding Liu
DOI:
10.1287/trsc.1060.0165
发表时间:
2007-05
期刊:
Transp. Sci.
影响因子:
--
作者:
M. Iori;Juan José SALAZAR-GONZÁLEZ;D. Vigo
通讯作者:
M. Iori;Juan José SALAZAR-GONZÁLEZ;D. Vigo