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FPGA implementation of a multi-population PBIL algorithm

dc.contributor.authorCoelho, João Paulo
dc.contributor.authorPinho, Tatiana M.
dc.contributor.authorBoaventura-Cunha, José
dc.date.accessioned2016-06-27T16:20:40Z
dc.date.available2016-06-27T16:20:40Z
dc.date.issued2015
dc.description.abstractEvolutionary-based algorithms play an important role in finding solutions to many problems that are not solved by classical methods, and particularly so for those cases where solutions lie within extreme non-convex multidimensional spaces. The intrinsic parallel structure of evolutionary algorithms are amenable to the simultaneous testing of multiple solutions; this has proved essential to the circumvention of local optima, and such robustness comes with high computational overhead, though custom digital processor use may reduce this cost. This paper presents a new implementation of an old, and almost forgotten, evolutionary algorithm: the population-based incremental learning method. We show that the structure of this algorithm is well suited to implementation within programmable logic, as compared with contemporary genetic algorithms. Further, the inherent concurrency of our FPGA implementation facilitates the integration and testing of micro-populations.pt_PT
dc.identifier.citationCoelho, J.P.; Pinho, T.; Boaventura-Cunha, J. (2015). FPGA implementation of a multi-population PBIL algorithm. In 7th International Joint Conference on Computational Intelligence (IJCCI 2015). Lisboapt_PT
dc.identifier.isbn978-989-758-157-1
dc.identifier.urihttp://hdl.handle.net/10198/13028
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPopulation based incremental learningpt_PT
dc.subjectMulti-population evolutionary algorithmspt_PT
dc.subjectFPGApt_PT
dc.titleFPGA implementation of a multi-population PBIL algorithmpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboapt_PT
oaire.citation.title7th International Joint Conference on Computational Intelligence (IJCCI 2015)pt_PT
person.familyNameCoelho
person.givenNameJoão Paulo
person.identifierR-001-EXZ
person.identifier.ciencia-idD61E-A586-7D4A
person.identifier.orcid0000-0002-7616-1383
person.identifier.ridJ-6887-2013
person.identifier.scopus-author-id55137039300
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication2861f33b-b49a-421d-9bfa-92b4304d2668
relation.isAuthorOfPublication.latestForDiscovery2861f33b-b49a-421d-9bfa-92b4304d2668

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