CAJ | 학술논문

针对船舶系统可靠性设计问题,采用改进非支配排序遗传算法(NSGA Ⅱ)研究了可靠性指标分配中的多目标优化设计.根据Pareto最优解集形成决策矩阵,基于信息熵法得到属性权重,利用逼近理想解的排序方法(TOPSIS)进行多属性决策研究.对Pareto最优解给出排序.采用本文方法讨论了一个船舶系统可靠度的分配和预测算例,给出了可靠度和费用之间的拟合关系.数值算例表明,综合采用多目标优化和多属性决策技术,可以迅速、客观选择各部件的可靠度.这种综合方法还能用于可靠性研究的其他领域.
침대선박계통가고성설계문제,채용개진비지배배서유전산법(NSGA Ⅱ)연구료가고성지표분배중적다목표우화설계.근거Pareto최우해집형성결책구진,기우신식적법득도속성권중,이용핍근이상해적배서방법(TOPSIS)진행다속성결책연구.대Pareto최우해급출배서.채용본문방법토론료일개선박계통가고도적분배화예측산례,급출료가고도화비용지간적의합관계.수치산례표명,종합채용다목표우화화다속성결책기술,가이신속、객관선택각부건적가고도.저충종합방법환능용우가고성연구적기타영역.
Multi-objective optimization and multi-attribute decision making study of reliability allocation is evaluated in present study. A hybrid approach is proposed for reliability optimization. In the first stage,a Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA Ⅱ)is employed to approximate the set of Pareto solution through an evolutionary optimization process. In the subsequent stage, a multi-attribute decision making(MADM) approach is adopted to rank these solutions from best to worst and to determine the best solution in a deterministic environment with a single decision maker. A reliability example in ship design is conducted to illustrate the analysis in present analysis. Pareto frontiers are obtained and the ranking of Pareto solution is based on entropy weight and TOPSIS method. A approximate formulation is presented for eost and reliability. The approach can be used in other reliability analysis research.