一类连续生物过程的双目标优化  

Bi-objective optimization for a class of continuous bioprocess

作　　者：高群王 李杨[1] 宋一凡[1] 徐恭贤[1] GAO Qun - wang LI Yang SONG Yi - fan XU Gong - xian(College of Mathematics and Physics, Bohai University, Jinzhou 121013, China)

机构地区：[1]渤海大学数理学院,辽宁锦州121013

出　　处：《渤海大学学报（自然科学版）》2016年第3期213-218,共6页Journal of Bohai University:Natural Science Edition

基　　金：国家自然科学基金项目(No:11101051;11371071);辽宁省自然科学基金项目(No:2015020038);辽宁省高等学校创新团队支持计划(No:LT2014024);辽宁省大学生创新创业训练计划项目(No:201610167000019)

摘　　要：研究了甘油连续生物歧化过程的双目标优化.针对甘油生物歧化为1,3-丙二醇过程的还原途径酶催化非线性动力系统,首先构造了使甘油转化为1,3-丙二醇的转化率和3-羟基丙醛的浓度同时达到最优的双目标优化模型,其次利用加权和方法对其进行求解,最后获得了双目标优化问题的Pareto最优解集及Pareto最优前沿.Bi-objective optimization of continuous bio -dissimilation process of glycerol is studied .Accord-ing to a nonlinear dynamic system of enzyme -catalytic kinetics on the bioprocess , a bi-objective optimization model that can simultaneously optimize the conversion rate of glycerol bioconversion to 1 ,3-propanediol and the 3-hydroxypropionaldehyde concentration is first established .Secondly , the bi-objective optimization problem can be solved by using the weighted -sum method .Thirdly , the Pareto optimal solution set and the Pareto -opti-mal front for bi-objective optimization problem are obtained .

关 键 词：生物过程 1 3-丙二醇 双目标优化 PARETO最优解 加权和方法 

分 类 号：O29[理学—应用数学]