Publication
Fractional Order Darwinian Particle Swarm Optimization
| dc.contributor.author | Couceiro, Micael S. | |
| dc.contributor.author | Ferreira, N. M. Fonseca | |
| dc.contributor.author | Tenreiro Machado, J. A. | |
| dc.date.accessioned | 2019-04-16T10:30:08Z | |
| dc.date.available | 2019-04-16T10:30:08Z | |
| dc.date.issued | 2011-11 | |
| dc.description.abstract | The Darwinian Particle Swarm Optimization (DPSO) is an evolutionary algorithm that extends the Particle Swarm Optimization (PSO) using natural selection, or survival-of-the-fittest, to enhance the ability to escape from local optima. This paper presents a method for controlling the convergence rate of the DPSO using fractional calculus (FC) concepts. The fractional order (FO) DPSO, denoted as FO-DPSO, is tested using several well-known functions and the relationship between the fractional order velocity and the convergence of the algorithm is observed. | pt_PT |
| dc.description.version | N/A | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.22/13579 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Fractional calculus | pt_PT |
| dc.subject | DPSO | pt_PT |
| dc.subject | Evolutionary algorithm | pt_PT |
| dc.title | Fractional Order Darwinian Particle Swarm Optimization | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Coimbra, Portugal | pt_PT |
| oaire.citation.endPage | 136 | pt_PT |
| oaire.citation.startPage | 127 | pt_PT |
| oaire.citation.title | Symposium On Fractional Signals and Systems | pt_PT |
| person.familyName | Tenreiro Machado | |
| person.givenName | J. A. | |
| person.identifier.ciencia-id | 7A18-4935-5B29 | |
| person.identifier.orcid | 0000-0003-4274-4879 | |
| person.identifier.rid | M-2173-2013 | |
| person.identifier.scopus-author-id | 55989030100 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 82cd5c17-07b6-492b-b3e3-ecebdad1254f | |
| relation.isAuthorOfPublication.latestForDiscovery | 82cd5c17-07b6-492b-b3e3-ecebdad1254f |