An Improved Multi-objective Evolutionary Algorithm for Hypertension Nutritional Diet Problems

摘要：

Unlike traditional single objective method, hypertension design is represented as a multi-objective optimization problem .In this paper,we present an improved multi-objective genetic algorithm to solve hypertension nutritional diet Problems. Simulated annealing is presented to overcome deficiencies such as the poor local search and premature convergence of Multi-objective Genetic Algorithm .The experimental results indicate that this algorithm is quite effective for hypertension design and provides powerful decision support to the design-maker.

作者: WANG Gaoping SUN Yanping

作者单位: College of Information Science and Technology, Henan University of Technology,Zhengzhou,450001,China

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 312-315

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）