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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bratton, D. Kennedy, J. |
| Copyright Year | 2007 |
| Description | Author affiliation: Dept. of Comput., London Univ. (Bratton, D.) |
| Abstract | Particle swarm optimization has become a common heuristic technique in the optimization community, with many researchers exploring the concepts, issues, and applications of the algorithm. In spite of this attention, there has as yet been no standard definition representing exactly what is involved in modern implementations of the technique. A standard is defined here which is designed to be a straightforward extension of the original algorithm while taking into account more recent developments that can be expected to improve performance on standard measures. This standard algorithm is intended for use both as a baseline for performance testing of improvements to the technique, as well as to represent PSO to the wider optimization community |
| Starting Page | 120 |
| Ending Page | 127 |
| File Size | 166437 |
| Page Count | 8 |
| File Format | |
| ISBN | 1424407087 |
| DOI | 10.1109/SIS.2007.368035 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Biological system modeling Measurement standards Birds Educational institutions Mathematical model Standards development Particle swarm optimization Statistics Testing |
| Content Type | Text |
| Resource Type | Article |
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