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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18967
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dc.contributor.authorGarg V.-
dc.contributor.authorDeep, K.-
dc.contributor.editorDeep K.-
dc.contributor.editorDas K.N.-
dc.contributor.editorBansal J.C.-
dc.contributor.editorPant M.-
dc.contributor.editorNagar A.-
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), 805- 812-
dc.identifier.isbn9.79E+12-
dc.identifier.issn21945357-
dc.identifier.urihttps://doi.org/10.1007/978-981-10-0451-3_72-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/18967-
dc.description.abstractIn this paper, the problem of extraction of bioactive compounds from the plant Ashwagandha is formulated as a nonlinear unconstrained optimization problem with more than one objective. Further this problem is solved using Laplacian Biogeography-Based Optimization. This paper focuses on the maximum extraction of two bioactive compounds (withaferin A and withanolide-A) from the roots of Ashwgandha (Withania somnifera). There are two objective functions each representing the maximizing of two bioactive compounds, i.e., withaferin A and withanolide A. The output of the yields is dependent on two factors namely, concentration of methanol and extraction temperature. This nonlinear optimization problem is converted into single objective problem using weighted sum approach and then solved using Laplacian Biogeography-Based Optimization (LX-BBO). Comparing these results with the previously reported results, it can be concluded that LX-BBO works comparatively well for these kind of optimization problems. © Springer Science+Business Media Singapore 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.subjectReal coded Genetic Algorithm-
dc.subjectEcology-
dc.subjectExtraction-
dc.subjectGenetic algorithms-
dc.subjectHeuristic algorithms-
dc.subjectLaplace transforms-
dc.subjectNonlinear programming-
dc.subjectOptimization-
dc.subjectSoft computing-
dc.subjectBiogeography-based optimizations-
dc.subjectExtraction temperatures-
dc.subjectLaplacians-
dc.subjectNon-linear optimization problems-
dc.subjectOptimization problems-
dc.subjectReal coded genetic algorithm-
dc.subjectUnconstrained optimization problems-
dc.subjectWeighted sum approaches-
dc.subjectProblem solving-
dc.titleApplication of Laplacian Biogeography-Based optimization: Optimal extraction of bioactive compounds from Ashwgandha-
dc.typeConference Paper-
dc.scopusid56594391300-
dc.scopusid8561208900-
dc.affiliationGarg, V., Department of Mathematics, Indian Institute of Technology, Roorkee, India-
dc.affiliationDeep, K., Department of Mathematics, Indian Institute of Technology, Roorkee, India-
dc.description.correspondingauthorGarg, V.; Department of Mathematics, Indian Institute of TechnologyIndia; email: vanitagarg16@gmail.com-
dc.identifier.conferencedetails5th International Conference on Soft Computing for Problem Solving, SocProS 2015, 18-20 December 2015-
Appears in Collections:Conference Publications [MA]

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