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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Multi Objective Extraction Optimization of Bioactive Compounds from Gardenia Using Real Coded Genetic Algorithm
verfasst von : Shashi, K. Deep, V. K. Katiyar
Erschienen in: 6th World Congress of Biomechanics (WCB 2010). August 1-6, 2010 Singapore
Verlag: Springer Berlin Heidelberg
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In this paper the problem of extraction optimization of bioactive compounds from Gardenia (Gardenia jasminoides Ellis) fruits is modeled into a non-linear multi-objective optimization problem, in which there are three objectives viz. yield of crocin, yield of geniposide and yield of total phenolic compound and three decision variables namely ethanol concentration, temperature and time.
In order to solve resulting multi-objective optimization problem the weighted sum approach is used. The resultant single objective optimization problem is solved using a real coded genetic algorithm, MI-LXPM [1]. The optimum conditions for extraction are computed and the effectiveness of the approach is demonstrated by discussion of the results obtained.