This work aims to propose a life cycle assessment-based robust multi-objective optimization model of hybrid solar-assisted CCHP system, which is driven by the complementarities of photovoltaic/thermal collectors
Moreover, applying a robust optimization approach is important because the selected design should be optimized over the applied torque range. The current article presents a structured multi-objective optimization approach with building meta-models for the objective functions. Having a structured way of ...
Multi-objective Robust Optimization Algorithms for Improving Energy Consumption and Thermal Comfort of Buildings M.Sc. Thesis by Robert Marijt Faculty of Computer Science at the University of Leiden, July, 2009 Supervisors dr.rer.nat. M.T.M. Emmerich, University Of Leiden, Faculty of Computer Sci...
论文链接:https://arxiv.org/pdf/2202.07549.pdf 项目链接:https://github.com/facebookresearch/robust_mobo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。…
《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...
Robust DesignLoss FunctionUncertaintyResponse Surface MethodologyProcess OptimizationDesigning a production process normally is involved with some important constraints such as uncertainty, trade-off between production costs and quality, customeParnianifard, Amir...
Robust Multi-Objective and Multi-Disciplinary Model Optimization Test CasesAll previous chapters considered solutions of design optimisation 'at fixed design' conditions. However as discussed in Chap. 4, there are many situations in engineering where a design does not operate at 'fixed design' points...
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...
To study the effect of different demand responses (DRs) on solving uncertainty, a multi-objective robust optimization model for a community virtual cloud power plant (CVCPP) is proposed based on the correlative confidence gap decision theory (CCGDT) and considering different DRs. Firstly, a CVCPP...
Besides, the basic optimization objective function, orbital dynamic models and geometry of sensor's field of view (FOV) are discussed respectively in the following subsections. Based on the formulation of the basic optimization objective function, a robust optimization model to deal with the Robust ...