Quan, Wei;
Gorse, Denise;
(2022)
A Novel Multi-Objective Velocity-Free Boolean Particle Swarm Optimization.
In:
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics.
(pp. pp. 2154-2160).
IEEE: Prague, Czech Republic.
Preview |
Text
2210.05882.pdf - Accepted Version Download (562kB) | Preview |
Abstract
This paper extends boolean particle swarm optimization to a multi-objective setting, to our knowledge for the first time in the literature. Our proposed new boolean algorithm, MBOnvPSO, is notably simplified by the omission of a velocity update rule and has enhanced exploration ability due to the inclusion of a “noise” term in the position update rule that prevents particles being trapped in local optima. Our algorithm additionally makes use of an external archive to store non-dominated solutions and implements crowding distance to encourage solution diversity. In benchmark tests, MBOnvPSO produced high quality Pareto fronts, when compared to benchmarked alternatives, for all of the multi-objective test functions considered, with competitive performance in search spaces with up to 600 discrete dimensions.
| Type: | Proceedings paper |
|---|---|
| Title: | A Novel Multi-Objective Velocity-Free Boolean Particle Swarm Optimization |
| Event: | 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) |
| Dates: | 9 Oct 2022 - 12 Oct 2022 |
| ISBN-13: | 9781665452588 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/SMC53654.2022.9945412 |
| Publisher version: | https://doi.org/10.1109/SMC53654.2022.9945412 |
| Language: | English |
| Additional information: | This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Measurement, Terminology, Machine learning, Benchmark testing, Search problems, Feature extraction, Particle swarm optimization |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10172665 |
Loading...
Loading...Loading...| 1. |  Russian Federation | 2 |
| 2. |  China | 2 |
| 3. |  Germany | 1 |
| 4. |  Romania | 1 |
| 5. |  United States | 1 |
Archive Staff Only
 |
View Item |
