Adaptive improved flower pollination algorithm for global optimization

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorSão Carlos Federal University-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorRodrigues, Douglas-
Autor(es): dc.creatorde Rosa, Gustavo Henrique-
Autor(es): dc.creatorPassos, Leandro Aparecido-
Autor(es): dc.creatorPapa, João Paulo-
Data de aceite: dc.date.accessioned2025-08-21T21:53:11Z-
Data de disponibilização: dc.date.available2025-08-21T21:53:11Z-
Data de envio: dc.date.issued2022-04-30-
Data de envio: dc.date.issued2022-04-30-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-030-28553-1_1-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/232905-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/232905-
Descrição: dc.descriptionIn 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.-
Descrição: dc.descriptionDepartment of Computing São Carlos Federal University-
Descrição: dc.descriptionDepartment of Computing São Paulo State University-
Descrição: dc.descriptionDepartment of Computing São Paulo State University-
Formato: dc.format1-21-
Idioma: dc.languageen-
Relação: dc.relationStudies in Computational Intelligence-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectBenchmarking functions-
Palavras-chave: dc.subjectFlower pollination algorithm-
Palavras-chave: dc.subjectMeta-heuristic algorithms-
Palavras-chave: dc.subjectOptimization-
Título: dc.titleAdaptive improved flower pollination algorithm for global optimization-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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