A hybrid of Newton method and genetic algorithm for constrained optimization method of the production of metabolic pathway

In this work, constrained optimization method of the production in metabolic pathway is presented. The optimization of the production in metabolic pathway is a difficult task due as there are many components in the metabolic pathway. In addition, the condition of the constraint in improving the production of metabolic pathway should also be considered. In order to overcome this situation, this study presents an improved method in constrained optimization of the production in metabolic pathway. The proposed method consists of the Newton method and Genetic Algorithm (GA). The proposed method works with the Newton method by treating metabolic pathway as a non-linear equation system. Then, GA was applied to represent the variables in the non-linear equations system as a chromosome and fine-tune the chromosome to improve the variables. The proposed method was applied on several metabolic pathways to assess its performance. Several comparisons were conducted to evaluate the performance of the proposed method, and it was shown that the proposed method works well compared to the other methods.