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An Improved Geometric Programming Approach for Optimization of Biochemical Systems
Journal of Applied Mathematics
This paper proposes an improved geometric programming approach to address the optimization of biochemical systems. In the proposed method we take advantage of a special and interesting class of nonlinear kinetic models known as generalized mass action (GMA) models. In most situations optimization problems with GMA models are nonconvex and difficult problems to solve for global optimality. To deal with this difficulty, in this work, some transformation strategy is first used to convert thedoi:10.1155/2014/719496 fatcat:sbkt44sgdzhojcfh5qdc2ocfry