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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lee, J.H. Kim, J. Song, J. Kim, Y. Jung, S. |
| Copyright Year | 1965 |
| Abstract | In this paper, we propose a novel memetic algorithm, which is explorative particle swarm optimization (ePSO), combined with mesh adaptive direct search and apply it to the design of a permanent magnet synchronous machine (PMSM). The ePSO, which is modified from the PSO, drastically improves search time and iteration number at an exploration search stage. Unlike the existing methods, the proposed rule of start point selection takes an advantage of minimizing the search time. By applying the proposed algorithm to PMSM, we clarify the effectiveness of the proposed algorithm. |
| Sponsorship | IEEE Magnetics Society |
| Starting Page | 1 |
| Ending Page | 4 |
| Page Count | 4 |
| File Size | 1512793 |
| File Format | |
| ISSN | 00189464 |
| Volume Number | 52 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2016-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Torque Particle swarm optimization Robustness Memetics Optimization Convergence Torque-Ripple Particle Swarm Optimization Mesh Adaptive Direct Search Optimal Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering |
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