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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhihui Du Sanli Li Shuyou Li Mengyue Wu Jing Zhu |
| Copyright Year | 1999 |
| Description | Author affiliation: Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Zhihui Du) |
| Abstract | Simulated Annealing (SA) is a frequently used stochastic algorithm to deal with combinatorial optimization problems and it converges with probability infinitely close to 1. SA is an NP algorithm and the long executive time prevents it from being accepted for many real-time applications. This paper presents a SPMD (Single Program Multiple Data) algorithm which combines SA with local searching algorithm-downhill. The hybrid method not only keeps the convergence of SA but also improves the convergence speed of SA. Approximate solutions can be found quickly for complex optimization problems and more precise solutions can also be found by employing the same algorithm to fine-tune the approximate solutions. SA is an essential serial algorithm, but the SPMD algorithm breaks up the serial bottleneck of SA and its performance scales up linearly with the increase of processors, at the same time, the SPMD algorithm does not require careful choice of control parameters. Application cases show that the algorithm is robust and it can find high quality solution with high speed. |
| Starting Page | 297 |
| Ending Page | 302 |
| File Size | 81282 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769503438 |
| DOI | 10.1109/IWCC.1999.810899 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-12-02 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computational modeling Simulated annealing Clustering algorithms Concurrent computing Embedded computing Materials science and technology Convergence Optimization methods Computer science Stochastic processes |
| Content Type | Text |
| Resource Type | Article |
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