Newton competitive genetic algorithm method for optimization the production of biochemical systems

• Main Authors: Mohd Arfian, Ismail, Kirahman, Ab Razak, Kohbalan, Moorthy, Mezhuyev, Vitaliy, Shahreen, Kasim, Ashraf Osman, Ibrahim
• Format: Article
• Language: English
• Published: American Scientific Publisher 2018
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/20685/1/34.%20Newton%20Competitive%20Genetic%20Algorithm%20Method%20for%20Optimization%20the%20Production%20of%20Biochemical%20Systems1.pdf; http://umpir.ump.edu.my/id/eprint/20685/; https://doi.org/10.1166/asl.2018.12963
• Institution: Universiti Malaysia Pahang

In this work, the optimization of biochemical systems production is performed by using a hybrid method of Newton competitive genetic algorithm is presented. The proposed method works by representing the biochemical systems as a generalized mass action model, where it leads to the process of solving...