Diversifying Search in Bee Algorithms for Numerical Optimisation
dc.authorid | Aydin, Mehmet/0000-0002-4890-5648 | |
dc.contributor.author | Dugenci, Muharrem | |
dc.contributor.author | Aydin, Mehmet Emin | |
dc.date.accessioned | 2024-09-29T15:50:53Z | |
dc.date.available | 2024-09-29T15:50:53Z | |
dc.date.issued | 2018 | |
dc.department | Karabük Üniversitesi | en_US |
dc.description | 10th International Conference on Computational Collective Intelligence (ICCCI) -- SEP 05-07, 2018 -- Bristol, ENGLAND | en_US |
dc.description.abstract | Swarm intelligence offers useful instruments for developing collective behaviours to solve complex, ill-structured and large-scale problems. Efficiency in collective behaviours depends on how to harmonise the individual contributions so that a complementary collective effort can be achieved to offer a useful solution. The harmonisation helps blend diversification and intensification suitably towards efficient collective behaviours. In this study, two renown honeybees-inspired algorithms were analysed with respect to the balance of diversification and intensification and a hybrid algorithm is proposed to improve the efficiency accordingly. The proposed hybrid algorithm was tested with solving wellknown highly dimensional numerical optimisation (benchmark) problems. Consequently, the proposed hybrid algorithm has demonstrated outperforming the two original bee algorithms in solving hard numerical optimisation benchmarks. | en_US |
dc.description.sponsorship | Univ W England,Wroclaw Univ Sci & Technol | en_US |
dc.identifier.doi | 10.1007/978-3-319-98446-9_13 | |
dc.identifier.endpage | 144 | en_US |
dc.identifier.isbn | 978-3-319-98446-9 | |
dc.identifier.isbn | 978-3-319-98445-2 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.issn | 1611-3349 | |
dc.identifier.scopus | 2-s2.0-85053153231 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 132 | en_US |
dc.identifier.uri | https://doi.org/10.1007/978-3-319-98446-9_13 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14619/3787 | |
dc.identifier.volume | 11056 | en_US |
dc.identifier.wos | WOS:000458812900013 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer International Publishing Ag | en_US |
dc.relation.ispartof | Computational Collective Intelligence, Iccci 2018, Pt Ii | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Swarm intelligence | en_US |
dc.subject | Numerical optimisation | en_US |
dc.subject | Bee-inspired algorithms | en_US |
dc.subject | Diversification and intensification | en_US |
dc.title | Diversifying Search in Bee Algorithms for Numerical Optimisation | en_US |
dc.type | Conference Object | en_US |