关键词: 营养决策, 支配, 多目标优化, 遗传算法, NSGA-Ⅱ

Abstract: Genetic algorithms is applied into the Nustriton decision making optimization.Multiple-dimension real-numbered vectors are adopted as the coding method to represent the Nutrition Prescription.Status transfer table is introduced to annotate the genetic operator states. Some new operators,such as random number transform operator and delete operator,are also inspired to accelerate the convergence without leading to premature.Simulation results show that such algorithm can approach the Pareto front as near as possible,and can spread toward the whole front.The proposed algorithm can provide more reasonable solutions once for all.

Key words: Nustriton decision making, domination, Multiple objective optimization, Genetic algorithms, NSGA-Ⅱ