论文标题
基于可靠性的可靠性设计优化方法，用于具有不确定性量化的工程系统
Reliability-Based Robust Design Optimization Method for Engineering Systems with Uncertainty Quantification
论文作者
论文摘要
强大的优化是一种在工程系统和设计中的不确定性下进行优化的方法，用于从航空到核能。在强大的设计过程中，参数可变性（或不确定性）被纳入工程系统的优化过程，以确保系统的质量和可靠性。本章重点介绍了一种可靠的优化方法来开发可靠和可靠的高级系统，并解释了使用不确定性量化和优化技术的框架。为了进行不确定性分析，将基于多项式混乱的方法与优化算法MOSA（多目标模拟退火）结合使用，并使用简化的测试功能讨论了该过程。对于优化过程，将无梯度的遗传算法视为优化器扫描整个设计空间，并且最佳值并不总是取决于初始值。
Robust optimization is a method for optimization under uncertainties in engineering systems and designs for applications ranging from aeronautics to nuclear. In a robust design process, parameter variability (or uncertainty) is incorporated into the engineering systems' optimization process to assure the systems' quality and reliability. This chapter focuses on a robust optimization approach for developing robust and reliable advanced systems and explains the framework for using uncertainty quantification and optimization techniques. For the uncertainty analysis, a polynomial chaos-based approach is combined with the optimization algorithms MOSA (Multi-Objective Simulated Annealing), and the process is discussed with a simplified test function. For the optimization process, gradient-free genetic algorithms are considered as the optimizer scans the whole design space, and the optimal values are not always dependent on the initial values.
