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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18970
Title: Optimal extraction of bioactive compounds from gardenia using laplacian biogoegraphy based optimization
Authors: Garg V.
Deep K.
Geem Z.W.
Kim J.H.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: Bioactive 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.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2016), 251- 258
URI: https://doi.org/10.1007/978-3-662-47926-1_24
http://repository.iitr.ac.in/handle/123456789/18970
Issue Date: 2016
Publisher: Springer Verlag
Keywords: Biogeography-Based optimization
Extraction of compounds
Laplacian BBO
RCGA
Response surface methodology
Algorithms
Chemical industry
Ecology
Extraction
Heuristic algorithms
Laplace transforms
Learning algorithms
Nonlinear programming
Optimization
Phenols
Biogeography-based optimizations
Extraction temperatures
Laplacians
Non-linear optimization problems
RCGA
Response surface methodology
Solution methodology
Total phenolic compounds
Chemical compounds
ISBN: 9780000000000
ISSN: 21945357
Author Scopus IDs: 56594391300
8561208900
Author Affiliations: Garg, V., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247-667, India
Deep, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247-667, India
Corresponding Author: Garg, V.; Department of Mathematics, Indian Institute of Technology RoorkeeIndia
Appears in Collections:Conference Publications [MA]

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