MOGA

基本解釋

Multi-objective genetic algorithm(MOGA) is a method that can optimize multiple objectives effectively and parellelly.
而多目標(biāo)遺傳算法是一種能夠同時高效、并行地優(yōu)化多個目標(biāo)函數(shù)的優(yōu)化算法。
The RBFNN designed by MOGA has much better generalization than that of SOGA, and also keeps simple architecture.
多目標(biāo)遺傳算法所得網(wǎng)絡(luò)比單目標(biāo)遺傳算法所得網(wǎng)絡(luò)泛化能力得到較大改善，結(jié)構(gòu)同樣簡單。
The results indicates that the fuzzy control and MOGA has wide prospect in the aspect of control of the aero-engine.
研究結(jié)果表明,模糊控制以及多目標(biāo)遺傳算法在航空發(fā)動機(jī)控制中具有廣闊的應(yīng)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物理結(jié)構(gòu)優(yōu)化問題是多目標(biāo)優(yōu)化問題,其技術(shù)、經(jīng)濟(jì)等各目標(biāo)間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.
多目標(biāo)遺傳算法是用來解決現(xiàn)實世界中多目標(biāo)優(yōu)化問題的一種進(jìn)化算法。