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Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11641
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dc.contributor.authorJhankal, Nitin Kuma
dc.contributor.authorAdhyaru, D. M.
dc.date.accessioned2023-04-20T11:06:31Z-
dc.date.available2023-04-20T11:06:31Z-
dc.date.issued2011-12-08
dc.identifier.citation2nd International Conference on Current Trends in Technology, NUiCONE-2011, Institute of Technology, Nirma University, December 8-10, 2011en_US
dc.identifier.isbn9788192304908
dc.identifier.urihttp://10.1.7.181:1900/jspui/123456789/3081
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/11641-
dc.description.abstractBacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for optimization and control. BFOA is inspired by the social foraging behaviour of Escherichia coli. BFOA has already drawn the attention of researchers because of its efficiency in solving real-world optimization problems arising in several application domains. In present paper, a detailed explanation of this algorithm is given. Comparative analysis of BFOA with Genetic Algorithm (GA) is presented.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseriesITFIC002-11en_US
dc.subjectBFOAen_US
dc.subjectGenetic Algorithm (GA)en_US
dc.subjectIC Faculty Paperen_US
dc.subjectFaculty Paperen_US
dc.subjectITFIC002en_US
dc.subject10MICC08en_US
dc.subjectNUiCONEen_US
dc.subjectNUiCONE-2011en_US
dc.titleBacterial Foraging Optimization Algorithm: A Derivative Free Techniqueen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, E&I

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