Genetic Optimization in Formaldehyde Production Process

Genetic algorithm is a simple but efficient combinatorial optimization algorithm based on the principle of nature evolution. This paper studied the optimization of formaldehyde production process. Due to the complexity experienced in the process reaction dynamics, it is difficult to set up precise model. It is showed in this paper that genetic algorithm is capable of handling such sort of optimization problems.