Research of sequencing with chain constraints based on genetic algorithm

In order to optimize the tips motion of the biochemistry analyzer equipment, especially to improve the biochemical index detective efficiency and degree of automation, this paper presents a scheduling model of the tips with chain constraints based on genetic algorithm. A decimal coding scheme based on sequence was adopted and the feasible genetic operator, which only explored in the feasible solution space, was adopted. This model can minimize the total working time because this model considers the constraints of the tips motion, and reasonably arranges the working sequence of the tips. Finally, the simulation results show that this method can greatly improve the working efficiency of the tips and has practical applications.