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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bo Sun Hui Wang Yadong Fang |
| Copyright Year | 2009 |
| Abstract | This paper summarily introduces principles of basic ant colony algorithm and explains the mathematical model of basic ant algorithm through the traveling salesman problem, and then the applications of the ant colony algorithm in discrete job-shop scheduling are expounded , and the mathematical model of discrete job-shop scheduling are mainly established through the method of the formation of one-to-one relationship by the path of utilizing the way which ants traverse the processes of the workpieces and discrete job-shop scheduling. So the objective function of the scheduling is optimized and the efficiency of the scheduling is improved. Lastly, the prospects of applying the ant colony algorithm to the discrete job-shop scheduling and future work for this problem are discussed. |
| Starting Page | 29 |
| Ending Page | 32 |
| File Size | 471495 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769538884 |
| DOI | 10.1109/KAM.2009.71 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-30 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ant colony optimization Job shop scheduling Computational modeling Knowledge acquisition Feedback Cities and towns Traveling salesman problems Mathematical model Sun Scheduling algorithm |
| Content Type | Text |
| Resource Type | Article |
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