Gaussian-valued particle swarm optimization
| dc.contributor.author | Harrison, Kyle Robert | |
| dc.contributor.author | Ombuki-Berman, Beatrice M. | |
| dc.contributor.author | Engelbrecht, Andries P. | |
| dc.date.accessioned | 2018-11-26T06:51:41Z | |
| dc.date.issued | 2018-10 | |
| dc.description.abstract | This paper examines the position update equation of the particle swarm optimization (PSO) algorithm, leading to the proposal of a simplified position update based upon a Gaussian distribution. The proposed algorithm, Gaussian-valued particle swarm optimization (GVPSO), generates probabilistic positions by retaining key elements of the canonical update procedure while also removing the need to specify values for the traditional PSO control parameters. Experimental results across a set of 60 benchmark problems indicate that GVPSO outperforms both the standard PSO and the bare bones particle swarm optimization (BBPSO) algorithm, which also employs a Gaussian distribution to generate particle positions. | en_ZA |
| dc.description.department | Computer Science | en_ZA |
| dc.description.embargo | 2019-10-03 | |
| dc.description.librarian | hj2018 | en_ZA |
| dc.description.sponsorship | The National Research Foundation (NRF) of South Africa (Grant Number 46712) and the Natural Sciences and Engineering Research Council of Canada (NSERC). | en_ZA |
| dc.description.uri | http://link.springer.combookseries/558 | en_ZA |
| dc.identifier.citation | Harrison K.R., Ombuki-Berman B.M., Engelbrecht A.P. (2018) Gaussian-Valued Particle Swarm Optimization. In: Dorigo M., Birattari M., Blum C., Christensen A., Reina A., Trianni V. (eds) Swarm Intelligence. ANTS 2018. Lecture Notes in Computer Science, vol 11172. Springer, Cham, | en_ZA |
| dc.identifier.issn | 0302-9743 (print) | |
| dc.identifier.issn | 1611-3349 (online) | |
| dc.identifier.other | 10.1007/978-3-030-00533-7_31 | |
| dc.identifier.uri | http://hdl.handle.net/2263/67321 | |
| dc.language.iso | en | en_ZA |
| dc.publisher | Springer | en_ZA |
| dc.rights | © Springer Nature Switzerland AG 2018. The original publication is available at : http://link.springer.combookseries/558. | en_ZA |
| dc.subject | Particle swarm optimization (PSO) | en_ZA |
| dc.subject | Gaussian-valued particle swarm optimization (GVPSO) | en_ZA |
| dc.subject | Bare bones particle swarm optimization (BBPSO) | en_ZA |
| dc.subject | Gaussian distribution | en_ZA |
| dc.subject | Swarm intelligence | en_ZA |
| dc.subject | Bench-mark problems | en_ZA |
| dc.subject | Control parameters | en_ZA |
| dc.subject | Particle position | en_ZA |
| dc.subject | Position updates | en_ZA |
| dc.subject | Standard PSO | en_ZA |
| dc.title | Gaussian-valued particle swarm optimization | en_ZA |
| dc.type | Postprint Article | en_ZA |