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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sankar, S.S. Ponnambalam, S.G. Rathinavel, V. Visveshvaren, M.S. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Mech. Eng., Arulmigu Kalasalingam Coll. of Eng. (Sankar, S.S.) |
| Abstract | This paper introduces a new approach for decentralized distributed scheduling in a parallel machine shop environment based on the ant colonies optimization (ACO) algorithm. Distributed scheduling in parallel machine shop environment is a NP hard problem which is important to be studied from both theoretical and practical, point of view. The algorithm developed in this work extends the use of the traveling salesman problem for scheduling in one single machine, to multiple parallel machines problem. A job index-based local search method is used as a daemon action in the general ACO frame work. The result obtained through the proposed methodology is compared with that of a few priority dispatch rules and heuristics found in the literature. The proposed algorithm is found to be superior both in terms of quality and consistency of the solutions obtained |
| Starting Page | 276 |
| Ending Page | 280 |
| File Size | 2359294 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780394844 |
| DOI | 10.1109/ICIT.2005.1600649 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Job shop scheduling Parallel machines Ant colony optimization Optimal scheduling Single machine scheduling Scheduling algorithm Traveling salesman problems Mechanical engineering Educational institutions NP-hard problem Distributed Scheduling Ant Colony Optimization Parallel Machine Shop |
| Content Type | Text |
| Resource Type | Article |
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