Multi-objective Optimization Of Continuous Bio-dissimilation Process Of Glycerol To1,3-propanediol

Bio-dissimilation process of glycerol to1,3-propanediol is an extremely complexnon-linear system, generally it is difficult to optimize. Thus, it is necessary to developand establish those optimization models and optimization methods that are suitable forthis class of processes, and it is helpful to improve the production level of the wholebio-dissimilation processes.This paper aims at investigate multi-objective optimization of continuousbio-dissimilation process of glycerol to1,3-propanediol. Most of previous researchespay more attention to single-objective optimization problems. But in practical processof production, we must consider two or more objectives at the same time. To meet thedemand of practical production, this paper first builds up multi-objective optimizationmodels, which is solved by the optimization methods.The main content of this paper and the main results obtained are as follows:1. This paper aims at bio-dissimilation process of glycerol to1,3-propanediol incontinuous cultures. Four objectives were proposed to maximize the volumetricproductivity of1,3-propanediol, the conversion rate of the raw material bioconversionto1,3-propanediol and the conversion rate of raw materials, besides minimize theconcentration of ethanol. Then the multi-objective optimization models are established.2. In order to solve the multi-objective optimization models proposed, the Paretooptimal solution set could be obtained by using the approach of weighted sum methodand normal boundary intersection method, and describe the optimal curve of Paretosolution of the multi-objective optimization problems. According to the Pareto optimalsolution set, the relationship between objectives could be analyzed further, whichcould contribute to theoretical guidance. The results show that the models proposed aresolved perfectly by the two optimization methods.