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Firefly algorithm with proportional adjustment strategy
Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0003-3681-8173
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Firefly algorithm is a new heuristic intelligent optimization algorithm and has excellent performance in many optimization problems. However, in the face of some multimodal and high-dimensional problems, the algorithm is easy to fall into the local optimum. In order to avoid this phenomenon, this paper proposed an improved firefly algorithm with proportional adjustment strategy for alpha and beta. Thirteen well-known benchmark functions are used to verify the performance of our proposed algorithm, the computational results show that our proposed algorithm is more efficient than many other FA algorithms.

Place, publisher, year, edition, pages
2019. Vol. 11235, p. 78-93
Keywords [en]
Firefly algorithm, Global optimization, Intelligent optimization algorithm, Meta-heuristic algorithm
National Category
Information Systems
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-30105DOI: 10.1007/978-3-030-19143-6_6Scopus ID: 2-s2.0-85065479081ISBN: 978-3-030-19142-9 (print)ISBN: 978-3-030-19143-6 (electronic)OAI: oai:DiVA.org:du-30105DiVA, id: diva2:1318173
Conference
QUAT 2018: Data Quality and Trust in Big Data, UAE, 12-15 November, 2018
Available from: 2019-05-27 Created: 2019-05-27 Last updated: 2019-07-22Bibliographically approved

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Song, William Wei

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf