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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang Lei Kang Qi Zuo Zhenyu Wu Qidi |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Control, Tongji Univ., Shanghai, China (Wang Lei; Kang Qi; Zuo Zhenyu) |
| Abstract | In this paper, the knowledge of multi-optimum distribution state is introduced into general programming of the particle swarm movement to avoid falling into local optimums at the original stage of the computation. The algorithm is improved based on the modified particle algorithm and used to optimize the multi-dimensional and multi-optimum function. Simulation results show that, the general convergence character of the algorithm derived in this paper has better performance than the results derived based on the modified particle algorithm. |
| Sponsorship | IEEE Control Syst. Soc |
| Starting Page | 149 |
| Ending Page | 152 |
| File Size | 274247 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780386337 |
| DOI | 10.1109/CCA.2004.1387202 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-09-02 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Functional programming Particle swarm optimization Computational modeling Evolutionary computation Space technology Algorithm design and analysis Programming profession Distributed computing Birds Constraint optimization |
| Content Type | Text |
| Resource Type | Article |
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