CAJ | 학술논문

将带精英策略的非支配性排序遗传算法NSGA-Ⅱ(Non-dominated sorting genetic algorithm-Ⅱ)应用于运载火箭低温贮箱地面增压系统参数多目标优化问题中,采用软件AMESim和Isight实现联合仿真优化,寻优出非劣解集(Pareto解集).设计人员可依据工程经验,从Pareto解集中选出满意解.该方法为低温贮箱地面增压系统参数设计提供一种新思路.
장대정영책략적비지배성배서유전산법NSGA-Ⅱ(Non-dominated sorting genetic algorithm-Ⅱ)응용우운재화전저온저상지면증압계통삼수다목표우화문제중,채용연건AMESim화Isight실현연합방진우화,심우출비렬해집(Pareto해집).설계인원가의거공정경험,종Pareto해집중선출만의해.해방법위저온저상지면증압계통삼수설계제공일충신사로.
The non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ) was applied to the multi-objective optimization of cryogenic tank ground pressurization system. Pareto solution set is sought out through Co-simulation of AMESim and Isight. Designers can choose the ideal result from Pareto solution set according to their engineering experience. The new method for the parameter designing of cryogenic tank ground pressurization system was proposed.