Bi-objective optimization for a class of tryptophan biosynthesis system
DU Ying
LV Dong-xue
QIU Tian
XU Gong-xian
Abstract：A solution method is proposed for the bi -objective optimization of tryptophan biosynthesis system with a GMA (Generalized Mass Action) model.The GMA model for the tryptophan biosynthesis system is first presented .Then a bi-objective optimization model of tryptophan biosynthesis system is constructed .Based on the NBI method , a solution strategy is presented to solve the constructed bi -objective optimization problem .To overcome the difficulty of the NBI method in obtaining the global Pareto solutions of the bi -objective optimiza-tion problem , applying a filter algorithm to delete the non -global Pareto solutions obtained by the NBI method . This filter algorithm can obtain the global Pareto solutions of the bi -objective optimization problem .The results obtained by the MATLAB computation show that this paper can obtain the Pareto solutions and Pareto front for the bi-objective optimization problem of tryptophan biosynthesis system with a GMA model .This shows the practi-cality and effectiveness of the presented method .
Keywords：tryptophan biosynthesis systemoptimizationbi-objectiveGMA model
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 341-347 )