A parallel interval computation model with alternative message passing
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| 65052_1.pdf | 282Kb | Adobe PDF | View |
| Title | A parallel interval computation model with alternative message passing |
|---|---|
| Author | Wu, Yong; Kumar, Arun; Shi, Peng |
| Publication Title | 2010 2nd International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) |
| Editor | Yongchuan Tang |
| Year Published | 2010 |
| Place of publication | United States |
| Publisher | IEEE Computer Society |
| Abstract | In this paper, we propose a decentralized parallel computation model for global optimization using interval analysis. The model is adaptive to any number of processors and there is no need to design an initial decomposition scheme to feed each processor at the beginning. The work load is distributed evenly among all processors by alternative message passing. Numerical experiments indicate that the model works well and is stable with different number of parallel processors, distributes the load evenly among the processors, and provides an impressive speedup, especially when the problem is timeconsuming to solve. |
| Peer Reviewed | Yes |
| Published | Yes |
| Alternative URI | http://dx.doi.org/10.1109/IHMSC.2010.129 |
| Copyright Statement | Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| ISBN | 978-0-7695-4151-8 |
| Conference name | Second International Conference on Intelligent Human-Machine Systems and Cybernatics |
| Location | Nanjing China |
| Date From | 2010-08-26 |
| Date To | 2010-08-28 |
| URI | http://hdl.handle.net/10072/40023 |
| Date Accessioned | 2010-10-21 |
| Date Available | 2011-08-19T06:41:29Z |
| Language | en_AU |
| Research Centre | Institute for Integrated and Intelligent Systems |
| Faculty | Griffith Business School |
| Subject | Optimisation; Ubiquitous Computing |
| Publication Type | Conference Publications (Full Written Paper - Refereed) |
| Publication Type Code | e1x |
Please use this identifier to cite this record: http://hdl.handle.net/10072/40023
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