Pareto - MEC and SP - MEC are respectively compared with the reference algorithms of Rand, VEGA, NSGA and SPEA.
分别将Pareto一MEC和SP一MEC与Rand, VEGA, NSGA和 SPEA这 四种算法进行了比较实验.
Fast non - dominated sorting genetic algorithm ( NSGA - II ) is a new multi - objective GA.
基于快速分类的 非 支配遗传算法 ( NSGA -II ) 是一种新型的 多目标 遗传算法.
In chapter 3, the PID controller parameters of an aeroengine model is optimized by MOEA NSGA - II.
第三章以航空发动机模型为对象,利用先进多目标遗传算法NSGA -II 对其PID控制器参数进行优化选取.