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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Won Sik Lee Sung Han Lee Young Dae Lee Beom Hee Lee |
| Copyright Year | 1999 |
| Description | Author affiliation: Sch. of Electr. Eng., Seoul Nat. Univ., South Korea (Won Sik Lee) |
| Abstract | As a practical application, we focus on the systematic genetic algorithm for a multi-head surface mounting machine. The multi-head surface mounting machine is becoming increasingly popular due to its merit that the mounting speed is high though the price is low. Since the scheduling problem for these machines is known to be of a combinatorial nature and NP-hard, no exact algorithm has been proposed. A genetic algorithm (GA) has been recognized as an efficient and useful procedure for solving large combinatorial optimization problems. The paper proposes to use a GA to solve the scheduling problem for the multi-head surface mounting machine. The result of computer simulation shows that the proposed method performs better than the conventional methods. |
| Starting Page | 1780 |
| Ending Page | 1785 |
| File Size | 542285 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780351843 |
| DOI | 10.1109/IROS.1999.811736 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-10-17 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Productivity Genetic algorithms Magnetic heads Surface-mount technology Job shop scheduling Manufacturing automation Costs Assembly Scheduling algorithm Processor scheduling |
| Content Type | Text |
| Resource Type | Article |
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