Particle swarm and population structure

dc.contributor.authorRosa, Agostinho C.
dc.contributor.authorFachada, Nuno
dc.contributor.authorLaredo, Juan L. J.
dc.contributor.authorMerelo, J. J.
dc.contributor.authorFernandes, Carlos Miguel da Costa
dc.contributor.institutionECATI - School of Communication, Architecture, Arts and Information Technologies
dc.date.issued2018-07-06
dc.descriptionGECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion
dc.description.abstractWe investigate the convergence speed, accuracy, robustness and scalability of PSOs structured by regular and random graphs with 3 ≤ k ≤ n. The main conclusion is that regular and random graphs with the same averaged connectivity k may result in significantly different performance, namely when k is low.en
dc.identifier.citationRosa, A C, Fachada, N, Laredo, J L J, Merelo, J J & Fernandes, C M D C 2018, Particle swarm and population structure. in GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, Inc, pp. 85-86, 2018 Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, 15/07/18. https://doi.org/10.1145/3205651.3205779
dc.identifier.doihttps://doi.org/10.1145/3205651.3205779
dc.identifier.isbn9781450357647
dc.identifier.urihttps://hdl.handle.net/10437/10192
dc.identifier.urlhttp://hdl.handle.net/10437/10192
dc.identifier.urlhttps://www.scopus.com/pages/publications/85051472933
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAssociation for Computing Machinery, Inc
dc.publisher2018 Genetic and Evolutionary Computation Conference, GECCO 2018
dc.relation.ispartofGECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
dc.relation.ispartofseriesGECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
dc.rightsopenAccess
dc.subjectPOPULAÇÃO
dc.subjectOTIMIZAÇÃO POR ENXAME DE PARTÍCULAS
dc.subjectPARTICLE SWARM OPTIMIZATION
dc.subjectPOPULATION
dc.titleParticle swarm and population structureen
dc.typeconferenceObject

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2018_gecco_pso.pdf
Size:
1.06 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: