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	A hybrid genetic algorithm for scheduling of inbound and outbound trucks in multi-door crossdocking operations
	Miao, Zhao Wei ; Su, Rui Ze ; Zhang, Jie ; Mou CW(缪朝炜)
	2014
关键词	Automobiles Genetic algorithms Scheduling algorithms Trucks
英文摘要	Conference Name:2014 International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SMTA 2014. Conference Address: Sanya, China. Time:February 20, 2014 - February 21, 2014.; WIT Transactions on Modelling and Simulation; Scheduling of inbound and outbound trucks has a great impact on multi-door crossdocking operations. This paper discusses a scheduling problem of inbound and outbound trucks in order to improve the operational performance of crossdocking by assigning each truck to an appropriate dock. Because this problem is strongly NP-hard, two kinds of genetic algorithms integrated with greedy method called hybrid genetic algorithm (HGA) are developed by adopting single-point crossover operator (SPCO) and double-point crossover operator (DPCO) respectively. The results of computational experiments under different scenarios show that HGA with SPCO outperforms that with DPCO in terms of both final near-optimal solution quality and computational time. ? 2014 WIT Press.
语种	英语
出处	http://dx.doi.org/10.2495/SMTA141172
出版者	WITPress
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85255]
专题	管理学院－会议论文
推荐引用方式 GB/T 7714	Miao, Zhao Wei,Su, Rui Ze,Zhang, Jie,et al. A hybrid genetic algorithm for scheduling of inbound and outbound trucks in multi-door crossdocking operations. 2014-01-01.

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