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Analysis and parameter adjustment of the RDPSO towards an understanding of robotic network dynamic partitioning based on Darwin's theory

dc.contributor.authorCouceiro, Micael
dc.contributor.authorM. L. Martins, Fernando
dc.contributor.authorRocha, Rui P.
dc.contributor.authorFerreira, N. M. Fonseca
dc.date.accessioned2023-09-27T14:18:26Z
dc.date.available2023-09-27T14:18:26Z
dc.date.issued2012
dc.description.abstractAlthough the well-known Particle Swarm Optimization (PSO) algorithm has been first introduced more than a decade ago, there is a lack of methods to tune the algorithm parameters in order to improve its performance. An extension of the PSO to multi-robot foraging has been recently proposed and denoted as Robotic Darwinian PSO (RDPSO), wherein sociobiological mechanisms are used to enhance the ability to escape from local optima. This novel swarm algorithm benefits from using multiple smaller networks (one for each swarm), thus decreasing the number of nodes (i.e., robots) and the amount of information exchanged among robots belonging to the same sub-network. This article presents a formal analysis of RDPSO in order to better understand the relationship between the algorithm’s parameters and its convergence. Therefore, a stability analysis and parameter adjustment based on acceleration and deceleration states of the robots is performed. These parameters are evaluated in a population of physical mobile robots for different values of communication range. Experimental results show that, for the proposed mission and parameter tuning, the algorithm con-verges to the global optimum in approximately 90% of the experiments regardless on the number of robots and the communication range.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/46801
dc.language.isoengpt_PT
dc.publisher[Hikari]pt_PT
dc.subjectforagingpt_PT
dc.subjectparameter adjustmentpt_PT
dc.subjectstability analysispt_PT
dc.titleAnalysis and parameter adjustment of the RDPSO towards an understanding of robotic network dynamic partitioning based on Darwin's theorypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlace[Rousse]pt_PT
oaire.citation.endPage1601pt_PT
oaire.citation.issue32pt_PT
oaire.citation.startPage1587pt_PT
oaire.citation.titleInternational Mathematical Forumpt_PT
oaire.citation.volume7pt_PT
person.familyNameCouceiro
person.familyNameMartins
person.givenNameMicael
person.givenNameFernando Manuel Lourenço
person.identifier0000000070715256
person.identifier.ciencia-id0B14-ED18-23C4
person.identifier.ciencia-id8512-5BB4-6DFD
person.identifier.orcid0000-0001-6641-6090
person.identifier.orcid0000-0002-1812-2300
person.identifier.ridG-4342-2010
person.identifier.ridAAK-6934-2020
person.identifier.scopus-author-id35076901800
person.identifier.scopus-author-id57217191490
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication7a6f0912-3613-4713-a58f-4e64c7ebb293
relation.isAuthorOfPublication805fc13a-0e76-4f11-9d4c-0dc177f8145c
relation.isAuthorOfPublication.latestForDiscovery805fc13a-0e76-4f11-9d4c-0dc177f8145c

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