A study of the single-machine two-agent scheduling problem with release times

被引:24
|
作者
Wu, Chin-Chia [2 ]
Wu, Wen-Hung [3 ]
Chen, Juei-Chao [4 ,5 ]
Yin, Yunqiang [1 ]
Wu, Wen-Hsiang [6 ]
机构
[1] E China Inst Technol, Sch Math & Informat Sci, Fuzhou 344000, Jiangxi, Peoples R China
[2] Feng Chia Univ, Dept Stat, Taichung 40724, Taiwan
[3] Kang Ning Jr Coll, Dept Business Adm, Taipei, Taiwan
[4] Fu Jen Catholic Univ, Dept Stat & Informat Sci, New Taipei City, Taipei County, Taiwan
[5] Fu Jen Catholic Univ, Grad Inst Appl Stat, New Taipei City, Taipei County, Taiwan
[6] Yuanpei Univ, Dept Healthcare Management, Hsinchu, Taiwan
关键词
Scheduling; Ready time; Flowtime; Genetic algorithm; Ant colony algorithm; HYBRID GENETIC ALGORITHM; DETERIORATING JOBS; MINIMIZE; AGENTS;
D O I
10.1016/j.asoc.2012.10.003
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In many management situations, multiple agents compete on the usage of common processing resources. On the other hand, the importance of the ready times can be shown in Wafer fabrication with the presence of unequal ready times. It is sometimes advantageous to form a non-full batch, while in other situations it is a better strategy to wait for future job arrivals in order to increase the fullness of the batch. However, research on scheduling with two-agent and ready time simultaneously is relatively unexplored. This paper addresses a single-machine two-agent scheduling problem with ready times. The aim is to find an optimal schedule to minimize the total completion time of the jobs of the first agent with the restriction that total completion time is allowed an upper bound for the second agent. To the best of our knowledge, the problem under study has not been considered. Firstly, we show that the proposed problem is strongly NP-hard. Following that, we then develop a branch-and-bound, an ant colony, and four genetic algorithms for an optimal and near-optimal solution, respectively. In addition, the extensive computational experiments are also given. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:998 / 1006
页数:9
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