MOGA

基本解释

Multi-objective genetic algorithm(MOGA) is a method that can optimize multiple objectives effectively and parellelly.
而多目标遗传算法是一种能够同时高效、并行地优化多个目标函数的优化算法。
The RBFNN designed by MOGA has much better generalization than that of SOGA, and also keeps simple architecture.
多目标遗传算法所得网络比单目标遗传算法所得网络泛化能力得到较大改善，结构同样简单。
The results indicates that the fuzzy control and MOGA has wide prospect in the aspect of control of the aero-engine.
研究结果表明,模糊控制以及多目标遗传算法在航空发动机控制中具有广阔的应用前景。
This paper presents an optimal design model for physical structure of RITS and a set of solutions based on multi-objective GA (MOGA).
RITS物理结构优化问题是多目标优化问题,其技术、经济等各目标间存在不可公度性或相互矛盾。
Multi-objective genetic algorithm (MOGA) is one of genetic algorithms (GAs) used to deal with the multi-objective optimization problems.
多目标遗传算法是用来解决现实世界中多目标优化问题的一种进化算法。