Constrained Multi-objective Evolutionary Algorithm for Application Decision-making in Nutrition

摘要：

Discussed evolutionary algorithms to solve multiobjective optimization problems, Proposed using IFDNAGA algorithm to solve multi-objective optimization of nutritional policy-making. Finally > IFDNAGA algorithm is applied into nutritional analysis and decision-making optimization problem to be seeking the best dietary structure. The results show that the algorithm is effective.

关键词： Operation of neighborhood and archive genetic algorithm Pareto optimal solution nustriton decision making

作者: WANG Gaoping SUN Yanping CHEN Yueyan

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

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 172-176

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）