Combined Quantum Particle Swarm Optimization Algorithm for Multi-objective Nutritional Diet Decision Making

摘要：

A assembled method based on quantum particle swarm optimization (QPSO) algorithm combined with Bayesian networks (BN) is proposed to solve complex multiobjective nutritional diet decision making problem. To realize nutritional diet decision optimization for patients, BN model for dealing with associative relationship between diseases and diets is set up to compute and update the edibility of every food in database. QPSO algorithm is selected as the core optimization algorithm to avoid being trapped in a local optimum. Actual experimental results show that such combined method is a feasible and effective approach for actual nutritional diet decision making problem.

关键词： Nutritional Diet Decision Making Quantum Particle Swarm Optimization Algorithm Multi-Objective Optimization

作者: Youbo Lv

作者单位: School of Computer and Information Engineering Harbin University of Commerce Harbin, China

会议类型: 国际会议

会议名称: 2009 2nd IEEE International Conference on Computer Science and Information Technology(第二届计算机科学与信息技术国际会议 ICCSIT2009)

会议地点: 北京

会议语种:英文

页码: 2227-2230

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