A New Teaching–Learning-based Chicken Swarm Optimization Algorithm

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorDeb, Sanchari
dc.contributor.authorGao, Xiao Zhi
dc.contributor.authorTammi, Kari
dc.contributor.authorKalita, Karuna
dc.contributor.authorMahanta, Pinakeswar
dc.contributor.departmentIndian Institute of Technology Guwahati
dc.contributor.departmentUniversity of Eastern Finland
dc.contributor.departmentDepartment of Mechanical Engineering
dc.date.accessioned2019-11-07T12:01:51Z
dc.date.available2019-11-07T12:01:51Z
dc.date.embargoinfo:eu-repo/date/embargoEnd/2020-08-20
dc.date.issued2019
dc.description.abstractChicken Swarm Optimization (CSO) is a novel swarm intelligence-based algorithm known for its good performance on many benchmark functions as well as real-world optimization problems. However, it is observed that CSO sometimes gets trapped in local optima. This work proposes an improved version of the CSO algorithm with modified update equation of the roosters and a novel constraint-handling mechanism. Further, the work also proposes synergy of the improved version of CSO with Teaching–Learning-based Optimization (TLBO) algorithm. The proposed ICSOTLBO algorithm possesses the strengths of both CSO and TLBO. The efficacy of the proposed algorithm is tested on eight basic benchmark functions, fifteen computationally expensive benchmark functions as well as two real-world problems. Further, the performance of ICSOTLBO is also compared with a number of state-of-the-art algorithms. It is observed that the proposed algorithm performs better than or as good as many of the existing algorithms.en
dc.description.versionPeer revieweden
dc.format.extent19
dc.format.mimetypeapplication/pdf
dc.identifier.citationDeb , S , Gao , X Z , Tammi , K , Kalita , K & Mahanta , P 2019 , ' A New Teaching–Learning-based Chicken Swarm Optimization Algorithm ' , Soft Computing . https://doi.org/10.1007/s00500-019-04280-0en
dc.identifier.doi10.1007/s00500-019-04280-0
dc.identifier.issn1432-7643
dc.identifier.issn1433-7479
dc.identifier.otherPURE UUID: 273fe996-61f7-405d-9fa9-bfdd50b51c71
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/273fe996-61f7-405d-9fa9-bfdd50b51c71
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85071079732&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/37756480/ENG_Deb_et_al_A_New_Teaching_Learning_Soft_Computing.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/41038
dc.identifier.urnURN:NBN:fi:aalto-201911076043
dc.language.isoenen
dc.publisherSpringer Verlag
dc.relation.ispartofseriesSoft Computingen
dc.rightsopenAccessen
dc.subject.keywordAlgorithm
dc.subject.keywordBenchmark
dc.subject.keywordChicken Swarm Optimization
dc.subject.keywordFunction
dc.subject.keywordHybrid
dc.subject.keywordTeaching–Learning-based Optimization
dc.titleA New Teaching–Learning-based Chicken Swarm Optimization Algorithmen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
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