A Hybrid Genetic Algorithm for the Multiple Crossdocks Problem

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	A Hybrid Genetic Algorithm for the Multiple Crossdocks Problem
	Miao, Zhaowei ; Fu, Ke ; Yang, Feng ; Mou CW(缪朝炜)
刊名	http://dx.doi.org/10.1155/2012/316908
	2012
关键词	INVENTORY SYSTEMS TIME WINDOWS LATERAL TRANSSHIPMENTS SUPPLY CHAIN MULTIPERIOD CONSTRAINT
英文摘要	NSFC [70802052, 70701039, 71072090]; MOE [NCET-10-0712, NCET-10-0847]; Fundamental Research Funds for the Central Universities [2010221025, 10wkpy20]; Academic Outstanding Youthful Research Talent Plan of Fujian Province [JA10001S]; Soft Science Projects of Fujian Province [2011R0081]; We study a multiple crossdocks problem with supplier and customer time windows, where any violation of time windows will incur a penalty cost and the flows through the crossdock are constrained by fixed transportation schedules and crossdock capacities. We prove this problem to be NP-hard in the strong sense and therefore focus on developing efficient heuristics. Based on the problem structure, we propose a hybrid genetic algorithm (HGA) integrating greedy technique and variable neighborhood search method to solve the problem. Extensive experiments under different scenarios were conducted, and results show that HGA outperforms CPLEX solver, providing solutions in realistic timescales.
语种	英语
出版者	MATH PROBL ENG
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/87643]
专题	管理学院－已发表论文
推荐引用方式 GB/T 7714	Miao, Zhaowei,Fu, Ke,Yang, Feng,et al. A Hybrid Genetic Algorithm for the Multiple Crossdocks Problem[J]. http://dx.doi.org/10.1155/2012/316908,2012.
APA	Miao, Zhaowei,Fu, Ke,Yang, Feng,&缪朝炜.(2012).A Hybrid Genetic Algorithm for the Multiple Crossdocks Problem.http://dx.doi.org/10.1155/2012/316908.
MLA	Miao, Zhaowei,et al."A Hybrid Genetic Algorithm for the Multiple Crossdocks Problem".http://dx.doi.org/10.1155/2012/316908 (2012).