Study of a New Cotton Assorting Algorithm

This paper analyzes the cotton assorting by computer, and studies the theory of strategies such as group sorting, elitist preservation, local optimal and self-adaptive mutation which are based upon the basic inheritance algorithm, and designs the hybrid genetic algorithm based computer automatic cotton assorting mathematical model. The computer automatic cotton-blending issue is experimented respectively using the basic genetic algorithms and the improved hybrid genetic algorithm, the results show that the cotton assorting scheme obtained by the improved hybrid genetic algorithm is more reasonable and the accuracy of mixed cotton quality is high. Effectiveness of this model has been verified through example analysis.