Adaptive improved flower pollination algorithm for global optimization

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dc.contributor.authorRodrigues, Douglas
dc.contributor.authorde Rosa, Gustavo Henrique [UNESP]
dc.contributor.authorPassos, Leandro Aparecido
dc.contributor.authorPapa, João Paulo [UNESP]
dc.contributor.institutionSão Carlos Federal University
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-30T19:17:27Z
dc.date.available2022-04-30T19:17:27Z
dc.date.issued2020-01-01
dc.description.abstractIn the last few years, meta-heuristic-driven optimization algorithms have been employed to solve several problems since they can provide simple and elegant solutions. In this work, we introduced an improved adaptive version of the Flower Pollination Algorithm, which can dynamically change its parameter setting throughout the convergence process, as well as it keeps track of the best solutions. The effectiveness of the proposed approach is compared against with Bat Algorithm and Particle Swarm Optimization, as well as the naïve version of the Flower Pollination Algorithm. The experimental results were carried out in nine benchmark functions available in literature and demonstrated to outperform the other techniques with faster convergence rate.en
dc.description.affiliationDepartment of Computing São Carlos Federal University
dc.description.affiliationDepartment of Computing São Paulo State University
dc.description.affiliationUnespDepartment of Computing São Paulo State University
dc.format.extent1-21
dc.identifierhttp://dx.doi.org/10.1007/978-3-030-28553-1_1
dc.identifier.citationStudies in Computational Intelligence, v. 855, p. 1-21.
dc.identifier.doi10.1007/978-3-030-28553-1_1
dc.identifier.issn1860-9503
dc.identifier.issn1860-949X
dc.identifier.scopus2-s2.0-85072069070
dc.identifier.urihttp://hdl.handle.net/11449/232905
dc.language.isoeng
dc.relation.ispartofStudies in Computational Intelligence
dc.sourceScopus
dc.subjectBenchmarking functions
dc.subjectFlower pollination algorithm
dc.subjectMeta-heuristic algorithms
dc.subjectOptimization
dc.titleAdaptive improved flower pollination algorithm for global optimizationen
dc.typeCapítulo de livro
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências, Baurupt
unesp.departmentComputação - FCpt

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