International Journal on Advanced Science, Engineering and Information Technology, Vol. 9 (2019) No. 2, List of accepted papers, DOI:10.18517/ijaseit.9.2.4987

Optimization of Biochemical Systems Production Using Combination of Newton Method and Particle Swarm Optimization

Mohd Arfian Ismail, Vitaliy Mezhuyev, Ashraf Osman Ibrahim


In the presented paper, an improved method that combine the Newton method (NM) with Particle Swarm Optimization (PSO) algorithm to optimize the production biochemical systems was presented. The optimization of the biochemical systems production became complicated when involve the large size of biochemical systems that has many components. In addition, two objectives and several constraints make the optimization process become difficult. To overcome this situation, the proposed method works by treating the biochemical systems as nonlinear equations system (NES). Then the NM was used to deal with NES while the PSO algorithm is for fine-tune the variables in NES. To evaluate the proposed method, two biochemical systems were used which were E.coli pathway and S. cerevisiae  pathway. The experimental results show that the proposed method able to achieve the best result compare to other works.


Newton method; Particle Swarm Optimization; Optimization; Biochemical systems; Computational Intelligence.

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