Search results for "Probabilistic-based design optimization"

showing 3 items of 3 documents

Optimization under Uncertainty and Linear Semi-Infinite Programming: A Survey

2001

This paper deals with the relationship between semi-infinite linear programming and decision making under uncertainty in imprecise environments. Actually, we have reviewed several set-inclusive constrained models and some fuzzy programming problems in order to see if they can be solved by means of a linear semi-infinite program. Finally, we present some numerical examples obtained by using a primal semi-infinite programming method.

Mathematical optimizationLinear programmingComputer scienceProbabilistic-based design optimizationComputer Science::Programming LanguagesFuzzy numberRobust optimizationSensitivity analysisStochastic programmingSemi-infinite programmingMembership function
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Simultaneous and multi-criteria optimization of TS requirements and maintenance at NPPs

2002

Abstract One of the main concerns of the nuclear industry is to improve the availability of safety-related systems at nuclear power plants (NPPs) to achieve high safety levels. The development of efficient testing and maintenance has been traditionally one of the different ways to guarantee high levels of systems availability, which are implemented at NPP through technical specification and maintenance requirements (TS&M). On the other hand, there is a widely recognized interest in using the probabilistic risk analysis (PRA) for risk-informed applications aimed to emphasize both effective risk control and effective resource expenditures at NPPs. TS&M-related parameters in a plant are associ…

Mathematical optimizationMeta-optimizationOptimization problemNuclear Energy and EngineeringComputer scienceProbabilistic-based design optimizationMulti-swarm optimizationMulti-objective optimizationBilevel optimizationMetaheuristicEngineering optimizationAnnals of Nuclear Energy
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An Adaptive Metamodel-Based Optimization Approach for Vehicle Suspension System Design

2014

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2014/965157 The performance index of a suspension system is a function of the maximum and minimum values over the parameter interval. Thus metamodel-based techniques can be used for designing suspension system hardpoints locations. In this study, an adaptive metamodel-based optimization approach is used to find the proper locations of the hardpoints, with the objectives considering the kinematic performance of the suspension. The adaptive optimization method helps to find the optimum locations of the hardpoints efficiently as it may be unachie…

Continuous optimizationMathematical optimizationEngineeringArticle SubjectAdaptive optimizationbusiness.industryGeneral MathematicsProbabilistic-based design optimizationlcsh:MathematicsVDP::Technology: 500::Mechanical engineering: 570General EngineeringInterval (mathematics)Kinematicslcsh:QA1-939Multi-objective optimizationEngineering (all)lcsh:TA1-2040Mathematics (all)Multi-swarm optimizationbusinessSuspension (vehicle)lcsh:Engineering (General). Civil engineering (General)Mathematics (all); Engineering (all)Mathematical Problems in Engineering
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