Applications of MOGA in Nutritional diet for Diabetic Patients
The issue of diabetes diet is regarded as multiobjective optimization problem which is different from traditional single-objective approach. In this paper,we design the nutrition diet decision-making model for the diabetes . We uses the state transition table to describe the genetic operators. The multi-objective optimization algorithm NSGA- Ⅱ is applied to the diabetic patients nutrition decision-making optimization problem. Experimental results show that the algorithm can effectively solve the nutrition optimization problems of diabetic patients and provide diet designers with a powerful nutrition decision support.
SUN Yanping WANG Gaoping
College of Information Science and Technology, Henan University of Technology, Zhengzhou,450001,China
国际会议
2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)
济南
英文
250-253
2009-08-14（万方平台首次上网日期，不代表论文的发表时间）