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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Junqing Li Quanke Pan Shengxian Xie Kaizhou Gao Yuting Wang |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Computer, Liaocheng University, Liaocheng, Shandong, 252059, China (Junqing Li; Quanke Pan; Shengxian Xie; Kaizhou Gao; Yuting Wang) |
| Abstract | In this study, we proposed a hybrid algorithm for solving the job shop scheduling problem with two objectives, i.e., to minimize the maximal completion time, the total flow time. The tabu search (TS) algorithm was used to conduct local search. Several initial approaches are presented to produce initial solution with high level of quality. The neighborhood structure based on critical block was introduced to reduce the searching space size. Experimental results based on well-known benchmarks show the efficiency and effectiveness of the proposed algorithm. |
| Starting Page | 3630 |
| Ending Page | 3634 |
| File Size | 180617 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424487370 |
| e-ISBN | 9781424487387 |
| DOI | 10.1109/CCDC.2011.5968852 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Computers Job shop scheduling problem Job shop scheduling Operations research Critical block Tabu search Benchmark testing Search problems Multi-objective Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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