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Journal of Biotechnology
Vol. 219, 2016, Pages: 59–71

Multi-objective optimization of a continuous bio-dissimilation process of glycerol to 1, 3-propanediol

Gongxian Xu, Ying Liu, Qunwang Gao

Department of Mathematics, Bohai University, Jinzhou 121013, China.


This paper deals with multi-objective optimization of continuous bio-dissimilation process of glycerol to 1, 3-propanediol. In order to maximize the production rate of 1, 3-propanediol, maximize the conversion rate of glycerol to 1, 3-propanediol, maximize the conversion rate of glycerol, and minimize the concentration of by-product ethanol, we first propose six new multi-objective optimization models that can simultaneously optimize any two of the four objectives above. Then these multi-objective optimization problems are solved by using the weighted-sum and normal-boundary intersection methods respectively. Both the Pareto filter algorithm and removal criteria are used to remove those non-Pareto optimal points obtained by the normal-boundary intersection method. The results show that the normal-boundary intersection method can successfully obtain the approximate Pareto optimal sets of all the proposed multi-objective optimization problems, while the weighted-sum approach cannot achieve the overall Pareto optimal solutions of some multi-objective problems.

Keywords: Multi-objective optimization; Bio-dissimilation process; Continuous bioprocess; Normal-boundary intersection method; Weighted-sum method.

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