Dosimetric impact of a robust optimization approach to mitigate effects from rotational uncertainty in prostate intensity-modulated brachytherapy.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16134
Abstract: BACKGROUND Intensity-modulated brachytherapy (IMBT) is an emerging technology for cancer treatment, in which radiation sources are shielded to shape the dose distribution. The rotatable shields provide an additional degree of freedom, but also introduce an… read more here.
Keywords: mitigate effects; uncertainty; optimization approach; robust optimization ... See more keywords
Evaluation and assessment of non-normal output during robust optimization
Sign Up to like & getrecommendations! Published in 2018 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-2173-2
Abstract: A robustness criterion that employs skewness of output is presented for a metamodel-based robust optimization. The propagation of a normally distributed noise variable via nonlinear functions leads to a non-normal output distribution. To consider the… read more here.
Keywords: non normal; robust optimization; normal output; output ... See more keywords
A conservative multi-fidelity surrogate model-based robust optimization method for simulation-based optimization
Sign Up to like & getrecommendations! Published in 2021 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-021-03007-w
Abstract: Multi-fidelity (MF) surrogate model-based robust optimization has been used to deal with engineering design and optimization problems that have uncertainty in their inputs. However, the MF surrogate model constructed by a limited number of samples… read more here.
Keywords: surrogate model; robust optimization; method; optimization ... See more keywords
Robust games: theory and application to a Cournot duopoly model
Sign Up to like & getrecommendations! Published in 2017 at "Decisions in Economics and Finance"
DOI: 10.1007/s10203-017-0199-3
Abstract: In this paper, the robust game model proposed by Aghassi and Bertsimas (Math Program Ser B 107:231–273, 2006) for matrix games is extended to games with a broader class of payoff functions. This is a… read more here.
Keywords: duopoly model; robust optimization; cournot duopoly; application ... See more keywords
Robust Optimization of Chaotropic Chromatography Assay for Lamotrigine and its Two Impurities in Tablets
Sign Up to like & getrecommendations! Published in 2018 at "Chromatographia"
DOI: 10.1007/s10337-018-3661-7
Abstract: In this study robust optimization was applied for the development of a reliable analytical assay for lamotrigine, its impurity A, and impurity G in tablets by chaotropic chromatography. The influence of the critical method parameters… read more here.
Keywords: chaotropic chromatography; assay lamotrigine; impurity; robust optimization ... See more keywords
Polyhedral Coherent Risk Measures and Robust Optimization
Sign Up to like & getrecommendations! Published in 2019 at "Cybernetics and Systems Analysis"
DOI: 10.1007/s10559-019-00210-y
Abstract: Properties of the apparatus of polyhedral coherent risk measures, its relationship with problems of robust and distributionally robust optimization, as well as its application under uncertainty are described. Problems of calculating robust structures of polyhedral… read more here.
Keywords: risk measures; polyhedral coherent; coherent risk; robust optimization ... See more keywords
Consensus Modeling with Asymmetric Cost Based on Data-Driven Robust Optimization
Sign Up to like & getrecommendations! Published in 2020 at "Group Decision and Negotiation"
DOI: 10.1007/s10726-020-09707-w
Abstract: The robust optimization method has progressively become a research hot spot as a valuable means for dealing with parameter uncertainty in optimization problems. Based on the asymmetric cost consensus model, this paper considers the uncertainties… read more here.
Keywords: optimization; asymmetric cost; consensus; uncertainty ... See more keywords
A Utility Theory Based Interactive Approach to Robustness in Linear Optimization
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Global Optimization"
DOI: 10.1007/s10898-017-0581-2
Abstract: We treat uncertain linear programming problems by utilizing the notion of weighted analytic centers and notions from the area of multi-criteria decision making. After introducing our approach, we develop interactive cutting-plane algorithms for robust optimization,… read more here.
Keywords: robust optimization; optimization utility; optimization; approach ... See more keywords
Distributionally robust optimization of home energy management system based on receding horizon optimization
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Energy"
DOI: 10.1007/s11708-020-0665-4
Abstract: This paper investigates the scheduling strategy of schedulable load in home energy management system (HEMS) under uncertain environment by proposing a distributionally robust optimization (DRO) method based on receding horizon optimization (RHO-DRO). First, the optimization… read more here.
Keywords: management system; robust optimization; energy management; optimization ... See more keywords
Minimum cost strategic weight assignment for multiple attribute decision-making problem using robust optimization approach
Sign Up to like & getrecommendations! Published in 2021 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-021-01583-7
Abstract: In practical multiple attribute decision-making (MADM) problems, the interest groups or individuals intentionally set attribute weights to achieve their own benefits. In this case, the rankings of alternatives are changed strategically, which is the strategic… read more here.
Keywords: robust optimization; strategic weight; assignment; multiple attribute ... See more keywords
Robust optimization for improving resilience of integrated energy systems with electricity and natural gas infrastructures
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Modern Power Systems and Clean Energy"
DOI: 10.1007/s40565-018-0377-5
Abstract: The integration of natural gas in electricity network requires a more reliable operating plan for increasing uncertainties in the whole system. In this paper, a three-stage robust optimization model is proposed for resilient operation of… read more here.
Keywords: system; energy; robust optimization; electricity natural ... See more keywords