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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Qing-song Du Li-ming |
| Copyright Year | 2009 |
| Abstract | Job-Shop Scheduling is the core contents of the CIMS research area and production logistics in the discrete manufacturing industry. To solve Job-Shop Scheduling problems, a scheduling mode1 based on MAS (Multi-Agent-System) is presented with multiple applications of genetic algorithm (GA) and contract-net mechanism. In the model, the entities in the job-shop are abstracted as Task Agent, Resource Agent, Control Agent and Cooperation agent. The scheduling mode1 is able to combine the flexibility of MAS and optimization through algorithms mentioned above. This model improves the literature proposed genetic algorithm, solves the dynamic job-shop scheduling problem by multi-agent consultative mechanism. According to compute the stimulating degree and equipment threshold, the new mission can be directly access to the appropriate sequence. At the same time, the use of genetic algorithm processing of the final route selection makes a reasonable allocation of resources. At the same time, the scheduling optimization objectives and the factors disturbing job-shop scheduling are analyzed in the paper. |
| Starting Page | 233 |
| Ending Page | 236 |
| File Size | 386580 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769537290 |
| DOI | 10.1109/SSME.2009.117 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-11 |
| Publisher Place | 09PR3729 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Job shop scheduling Multiagent systems Multi-agent system Computer integrated manufacturing Scheduling model Job design Scheduling algorithm Genetic algorithms Job-shop scheduling Manufacturing industries Processor scheduling Job production systems Logistics algorithm |
| Content Type | Text |
| Resource Type | Article |
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