(1��Department of Health Statistics�� Shanxi Medical University�� Taiyuan 030001�� China�� 2�� College of Mechanical and Electrical Engineering �� University of Electronic Science and Technology of China��Chengdu 610054�� China)����
Abstract��
ABSTRACT��OBJECTIVE To study the application of Multi��objective Genetic Algorithm in optimization of micro��extraction technology of Schisandrae Chinensis Fructus�� METHODS Sub��target model of extraction rate�� schizandrin and the total lignan was established based on micro��extraction Schisandrae Chinensis Fructus experimental data resulted from uniform design�� Applying MOGA�� the optimal extracting conditions were explored�� and the results were compared with those of Single��objective genetic algorithm�� Using SGALAB beta5008 of the Matlab2009a plug��in tool��box�� the genetic algorithm optimization was achieved�� SPSS13��0 software was used for statistical analysis�� RESULTSThe optimal conditions were as follows�� microwave power 270 W�� ethanol 87%�� extraction time 7 min�� ethanol amount 1�� 4��5�� grinding degree 70�� Under these conditions�� the extract rate was 21��40%�� Schizandrin recovery was 4��72%�� and the total lignan recovery was 10��84%�� CONCLUSIONMOGA provides a reasonable pareto ensuring the optimal multi��objective�� which provides a reasonable method for extraction of Schisandrae Chinensis Fructus�� This method can be applied in the selection of extraction technology of other drugs��
.Optimization of Extraction Technology of Schisandrae Chinensis Fructus by Multi��objective Genetic Algorithm����[J] Chinese Pharmaceutical Journal, 2012,V22(9): 669-672
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[1]
ZHANG W X. ��Mathematical Foundations of Geneticalgorithms��(�Ŵ��㷨����ѧ����) [M]. Xi'an��Xi'an Jiaotong University Press��2003��39��85. ��
[2]
SCHAFFER J. Multiple objective optimization with vector evaluated genetic algorithms[D]. Hillsdale: Erlbaum Associates Inc, 1985.��
[3]
HORN J�� NAFPLIOTIS N�� GOLDBERG D E. A niched Pareto genetic algorithm for multi��objective optimization[C]. IEEE World Congress on Computational Computation�� Piscataway�� NJ�� 1994. ��
[4]
CUI X X. ��Multiobjective Evolutionary Algorithm and Application��(��Ŀ������㷨��Ӧ��) [M]. Beijing�� Defense Industry Press��2006��52��69. ��
[5]
FONSECA C M�� FLEMING P J. Genetic algorithms for multi��objective optimization�� formulation and generalization[M]. Proceedings of the fifth international conference on genetic algorithms. San Francisco: Morgan Kaufmann Publishers Inc, 1993��416��423. ��
[6]
FANG K T�� MA C X. ��Orthogonal and Uniform Experimental Design�� (����������������) [M]. Beijing�� Science Press�� 2001��83��97. ��
[7]
HUANG T H�� ZHANG X M. Study on microwave��assisted extraction process for paeoniflorin in paeonia lactiflora pall psing uniform design [J]. ��Chin Pharm J ��(�й�ҩѧ��־)��2008�� 43(19)��1464��1467. ��
[8]
HUANG T H��SHEN P R. Optimization of microwave extraction process of Schisandra by uniform design [J]. ��Chin Tradit Pat Med��(�г�ҩ)��2006��28(8)��1111��1113. ��
[9]
QIU L X. Optimal Decision��making Criterion Analysis Based on Genetic Algorithms and its Application in Medicine and Pharmacy[D]. Shanxi Medical University�� 2007. ��