Theory of particle swarm optimization: A survey of the power of the swarm’s potential
| dc.contributor.author | Bassimir, Bernd | |
| dc.contributor.author | Raß, Alexander | |
| dc.contributor.author | Schmitt, Manuel | |
| dc.date.accessioned | 2021-06-21T12:16:42Z | |
| dc.date.available | 2021-06-21T12:16:42Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | This paper presents a survey on different showcases for potential measures on particle swarm optimization (PSO). First, a potential is analyzed to prove convergence to non-optimal points. Second, one can apply a minor modification to PSO to prevent convergence to non-optimal points by using an easy potential measure. Finally, analyzing this potential measure yields a reliable stopping criterion for the modified PSO. | en |
| dc.identifier.doi | 10.1515/itit-2019-0004 | |
| dc.identifier.pissn | 2196-7032 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/36656 | |
| dc.language.iso | en | |
| dc.publisher | De Gruyter | |
| dc.relation.ispartof | it - Information Technology: Vol. 61, No. 4 | |
| dc.subject | Particle swarm optimization | |
| dc.subject | potential | |
| dc.subject | meta-heuristics | |
| dc.title | Theory of particle swarm optimization: A survey of the power of the swarm’s potential | en |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 176 | |
| gi.citation.publisherPlace | Berlin | |
| gi.citation.startPage | 169 |