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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wen-Juan Ren Jun-Hua Duan Feng-rong Zhang Hong-yan Han Min Zhang |
| Copyright Year | 2011 |
| Description | Author affiliation: College of Computer Science, Liao Cheng, University, CO 252059, China (Wen-Juan Ren; Min Zhang) || College of Computer Science, Liao Cheng University, CO 252059, China (Feng-rong Zhang) || College of Computer, Science, Liao Cheng University, CO 252059, China (Jun-Hua Duan) || College of Mathematic, Liao Cheng University, CO 252059, China (Hong-yan Han) |
| Abstract | Three hybrid harmony search (HS) algorithms are proposed for solving Bi-criteria No-idle permutation Flow Shop Scheduling Problem in this paper. Tw o objectives, i.e. the maximum completion time (makespan) and the total flow time (TFT), are considered simultaneously. The proposed algorithms firstly convert continuous harmony vectors into job permutations according to the largest position value (LPV) rule. Then the algorithms use the NEH algorithm to initialize one harmony and the others are initialized randomly. Lastly, a local search method is used in the proposed algorithms to enhance the exploitation capability. The extensive computational experiments demonstrate the high effectiveness and searching ability of the hybrid harmony algorithms especially the hybrid Globalbest harmony search (hGHS) algorithm. |
| Starting Page | 2513 |
| Ending Page | 2517 |
| File Size | 187518 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424487370 |
| e-ISBN | 9781424487387 |
| DOI | 10.1109/CCDC.2011.5968632 |
| 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 Total flow time Job shop scheduling Hybrid harmony search Search problems Nickel Multi-objective optimization Makespan Mathematical model Equations |
| Content Type | Text |
| Resource Type | Article |
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