1) non-dominated sorting genetic algorithm II(NSGA-II)
改进非劣分层多目标遗传算法(NSGA-II)
1.
Taking the accurate setpoint tracking,disturbance attenuation and robust stability performances as the objective function,the Pareto optimal solution was obtained by using non-dominated sorting genetic algorithm II(NSGA-II).
将系统的跟随性能、扰动抑制性能及鲁棒性能作为目标函数,采用改进非劣分层多目标遗传算法(NSGA-II)求出Pareto最优解。
2) improved multi-objective GA(genetic algorithm)
多目标改进遗传算法
1.
In order to solve an MRT(mass rapid transportation) train operation simulation model and obtain the optimum operation curve,an improved multi-objective GA(genetic algorithm) was proposed.
为了求解城市快速交通(MRT)列车运行模拟模型,寻找最优的列车运行控制曲线,构造了多目标改进遗传算法。
3) Non-dominated Sorting Genetic Algorithm Ⅱ(NSGA-Ⅱ)
改进的非支配排序遗传算法(NSGA-Ⅱ)
4) Non-Dominated Sorted Genetic Algorithm-II(NSGA-II)
非支配排序遗传算法-II(NSGA-II)
5) Non-dominated Sorting Genetic Algorithm-I(INSGA-II)
非支配排序遗传算法II(NSGA-II)
6) fast and elitist multi-objective genetic algorithm(NSGA-II)
非支配排序遗传算法(NSGA-II)
补充资料：改进
改变旧有情况，使有所进步：～工作ㄧ操作方法有待～。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条