DocumentCode :
1772966
Title :
Bi-objective optimization of a continuous biological process
Author :
Gongxian Xu ; Ying Liu ; Chao Yu ; Dan Su
Author_Institution :
Dept. of Math., Bohai Univ., Jinzhou, China
fYear :
2014
fDate :
24-27 Oct. 2014
Firstpage :
230
Lastpage :
234
Abstract :
This paper addresses the bi-objective optimization of continuous bio-dissimilation process of glycerol to 1, 3-propanediol. A bi-objective optimization model is firstly proposed to maximize the production rate of 1, 3-propanediol, simultaneously maximize the conversion rate of glycerol and ensure the bioprocess is operated under steady-state conditions. Then this bi-objective problem can be transformed into a sequence of single objective problems by using the weighted-sum and normal-boundary intersection methods respectively. Finally, these single objective problems are solved by an interior point method. The results show that the weighted-sum and normalboundary intersection methods can obtain the approximate Pareto-optimal set of the proposed bi-objective optimization problem.
Keywords :
biochemistry; differential equations; optimisation; organic compounds; 1, 3-propanediol; biobjective optimization model; biobjective optimization problem; biobjective problem; continuous biodissimilation process; continuous biological process; glycerol; normal boundary intersection method; production rate maximisation; single objective problems; steady state condition; weighted sum method; Biological system modeling; Kinetic theory; Linear programming; Mathematical model; Optimization; Production; Substrates; bi-objective optimization; bio-dissimilation process; interior point algorithm; normal-boundary intersection method; weighted-sum method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Biology (ISB), 2014 8th International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ISB.2014.6990760
Filename :
6990760
Link To Document :
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