An improved marriage in honey bees optimization algorithm for single objective unconstrained optimization.
Marriage in honey bees optimization (MBO) is a metaheuristic optimization algorithm developed by inspiration of the mating and fertilization process of honey bees and is a kind of swarm intelligence optimizations. In this study we propose improved marriage in honey bees optimization (IMBO) by adding...
| Publicado en: | Scientific World Journal pp. 370172 - 370173 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104038620&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104038620 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104038620 NLM23935416 2012242320 10.1155/2013/370172 NLM23935416 PMC3725828 104038620 ppf: 370172 ppct: 1 formats: tig: atl: An improved marriage in honey bees optimization algorithm for single objective unconstrained optimization. aug: au: Celik, Yuksel Ulker, Erkan affil: Department of Computer Programming, Karamanoglu Mehmetbey University, Karaman, Turkey. sug: subj: Algorithms Bees and Wasps Animal Studies Female Male Sexuality Female Male ab: Marriage in honey bees optimization (MBO) is a metaheuristic optimization algorithm developed by inspiration of the mating and fertilization process of honey bees and is a kind of swarm intelligence optimizations. In this study we propose improved marriage in honey bees optimization (IMBO) by adding Levy flight algorithm for queen mating flight and neighboring for worker drone improving. The IMBO algorithm's performance and its success are tested on the well-known six unconstrained test functions and compared with other metaheuristic optimization algorithms. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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