Vehicle routing problem with time windows and fuzzy demands: an approach based on the possibility theory
Vehicle routing problem with time windows and fuzzy demands: an approach based on the possibility theory
复制标题
具有时间窗和模糊需求的车辆路径问题：一种基于可能性理论的方法
DOI：
10.1504/ijaom.2009.031247
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Jian Xu
中科院分区：
文献类型：
--
作者：
G. Goncalves;T. Hsu;Jian Xu
本文研究了具有时间窗和模糊需求的车辆路径问题，提出了基于可能性理论的模糊追索模型。将随机模拟和遗传算法相结合，设计了一种混合智能算法来求解随机资源模型的模糊版本。此外，还提议改编所罗门的基准，以便评估拟议办法的质量。
In this paper, the vehicle routing problem with time windows and fuzzy demands (VRPTWFD) is considered and a fuzzy recourse model based on the possibility theory is proposed. A stochastic simulation and a genetic algorithm (GA) are integrated to design a hybrid intelligent algorithm to solve the fuzzy version of a stochastic recourse model. Moreover, an adaptation of the Solomon's benchmark is proposed in order to assess the quality of the proposed approach.
(2007)“阿尔斯特爱尔兰语不定式从句摘录”。
DOI：
--
发表时间：
2007
期刊：
In Proceedings of the 135th Meeting of the Linguistic Society of Japan
影响因子：
--
作者：
O Baoill;Donall P. and Hideki Maki
通讯作者：
Donall P. and Hideki Maki