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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18970
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dc.contributor.authorGarg V.-
dc.contributor.authorDeep, K.-
dc.contributor.editorGeem Z.W.-
dc.contributor.editorKim J.H.-
dc.date.accessioned2020-12-03T06:29:36Z-
dc.date.available2020-12-03T06:29:36Z-
dc.date.issued2016-
dc.identifier.citationProceedings of Advances in Intelligent Systems and Computing, (2016), 251- 258-
dc.identifier.isbn9.78E+12-
dc.identifier.issn21945357-
dc.identifier.urihttps://doi.org/10.1007/978-3-662-47926-1_24-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/18970-
dc.description.abstractBioactive compounds form different plant materials are used in a number of important pharmaceutical, food and chemical industries. Many conventional and unconventional methods are available to extract optimum yields of these bioactive compounds from various plant materials. This paper focuses on the extraction of bioactive compounds (crocin, geniposide and total phenolic compounds) from Gardenia (Gardenia jasminoides Ellis) by modeling the problem as a nonlinear optimization problem with multiple objectives. There are three objective functions each representing the maximizing of three bioactive compounds i.e. crocin, geniposide and total phenolic compounds. Each of the bioactive compounds are dependent on three factors namely: concentration of ethanol, extraction temperature and extraction time. The solution methodology is a recently proposed Laplacian Biofeographical Based Optimization. The results obtained are compared with previously reported results and show a significant improvement, thus exhibiting not only the superior performance of Laplacian Biogeographical Based Optimization, but also the complexity of the problem at hand. © Springer-Verlag Berlin Heidelberg 2016.-
dc.language.isoen_US-
dc.publisherSpringer Verlag-
dc.relation.ispartofProceedings of Advances in Intelligent Systems and Computing-
dc.subjectBiogeography-Based optimization-
dc.subjectExtraction of compounds-
dc.subjectLaplacian BBO-
dc.subjectRCGA-
dc.subjectResponse surface methodology-
dc.subjectAlgorithms-
dc.subjectChemical industry-
dc.subjectEcology-
dc.subjectExtraction-
dc.subjectHeuristic algorithms-
dc.subjectLaplace transforms-
dc.subjectLearning algorithms-
dc.subjectNonlinear programming-
dc.subjectOptimization-
dc.subjectPhenols-
dc.subjectBiogeography-based optimizations-
dc.subjectExtraction temperatures-
dc.subjectLaplacians-
dc.subjectNon-linear optimization problems-
dc.subjectRCGA-
dc.subjectResponse surface methodology-
dc.subjectSolution methodology-
dc.subjectTotal phenolic compounds-
dc.subjectChemical compounds-
dc.titleOptimal extraction of bioactive compounds from gardenia using laplacian biogoegraphy based optimization-
dc.typeConference Paper-
dc.scopusid56594391300-
dc.scopusid8561208900-
dc.affiliationGarg, V., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247-667, India-
dc.affiliationDeep, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247-667, India-
dc.description.correspondingauthorGarg, V.; Department of Mathematics, Indian Institute of Technology RoorkeeIndia-
dc.identifier.conferencedetails2nd International Conference on Harmony Search Algorithm, ICHSA 2015, 19-21 August 2015-
Appears in Collections:Conference Publications [MA]

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