The objective functions of the peak-peak transmission error (PPTE), contact stress, and root stresses are studied. The developed optimization approach is based on the robust multi-objective optimization method
A multi-objective robust optimization approach for green location-routing planning of multi-modal transportation systems under uncertaintyCarbon emission has been widely studied in transportation research in general, yet research on carbon emission specifically in hazardous material transportation remains ...
Robust optimizationMonte Carlo–Latin hypercubePolynomial chaos expansionIn this paper, a new approach for multi-objective robust optimization of flutter velocity and maximum displacement of the wing tip are investigated. The wing is under the influence of bending–torsion coupling and its design ...
本文是facebook组于ICML2022的一篇工作,其在理论角度上对有输入噪声的多目标贝叶斯优化进行了分析。 引言 本文面向多目标优化的输入噪声问题,结合贝叶斯优化和帕累托最优的思想设计并优化了全局多目标风险价值,以解决对输入噪声敏感的黑盒约束的问题。 贝叶斯优化通过调整设计参数,可以优化高评估成本的黑盒性能指标。虽然...
Deterministic optimization using the finite element (FE) analysis have been used to improve the formability of the MDF process; however, not considering the noises of the system could affect the variation of the final product quality. In this study, the uncertainty parameters are considered to ...
theory and applications of robust optimization:鲁棒优化理论及其应用 热度: A robust optimization model for stochastic logistic problems:一个随机的物流问题的鲁棒优化模型 热度: Robust Optimization:鲁棒优化 热度: 相关推荐 Multi-objective Robust Optimization Algorithms for Improving Energy Consumption and...
《Robust Multiobjective Optimization via Evolutionary Algorithms (RMOEA)》是一种通过进化算法实现的强健多目标优化方法。该方法旨在解决在存在不确定性和噪声的情况下的多目标优化问题,通过考虑到各种可能的不确定性因素,提高了优化算法的鲁棒性和可靠性。RMOEA通过在进化过程中维持一组解的多样性,以产生一组在各种...
The robust approach (the worst-case approach) for convex multiobjective optimization problem (UCMP) with uncertainty data is considered. Using the robust approach, we define three kinds of robust efficient solutions for an uncertain convex multiobjective optimization problem (UCMP) which consists of mo...
As a result, a robust orbit design approach is proposed by combining the robust optimization model with multi-objective optimization algorithm. Finally, the Monte Carlo simulation results are provided to demonstrate that the robust orbit solutions are more reliable compared to the nominal orbit ...
Finally, the robust form of the objective function is obtained as Eq. (68), (69), (70), (71), (72), (73), (74), (75), (76) as a robust multi-objective optimization problem. This is a generalizable and customizable model for other new electricity markets to enhance their market ...