Search results for "Adaptive optimization"

showing 3 items of 3 documents

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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A New Dynamic Model for Anticipatory Adaptive Control of Airline Seat Reservation via Order Statistics of Cumulative Customer Demand

2017

This paper deals with dynamic anticipatory adaptive control of airline seat reservation for the stochastic customer demand that occurs over time T before the flight is scheduled to depart. It is assumed that time T is divided into m periods, namely a full fare period and m−1 discounted fare periods. The fare structure is given. An airplane has a seat capacity of U. For the sake of simplicity, but without loss of generality, we consider (for illustration) the case of nonstop flight with two fare classes (business and economy). The proposed policies of the airline seat inventory control are based on the use of order statistics of cumulative customer demand, which have such properties as bivar…

Inventory controlAdaptive controlOperations researchComputer scienceAdaptive optimizationOrder statisticReservationComputerApplications_COMPUTERSINOTHERSYSTEMS020206 networking & telecommunications02 engineering and technologyDecision ruleBivariate analysis0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPredictability
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Cross-entropy-based adaptive optimization of simulation parameters for Markovian-driven service systems

2005

Abstract Markov fluid models represent a general description of the process of service request arrivals to service systems. The solution of performance analysis problems incorporating them often calls for a simulation approach, for which a reference methodology is Importance Sampling. However, in this case the appropriate choice of the biasing conditions is a problem in itself. In this paper an iterative method based on the cross-entropy is proposed for this choice. The equations are given that allow to derive the biasing conditions from the simulation itself. The application of the proposed method to three different sample cases, referring to one transient scenario (finite time horizon and…

Mathematical optimizationImportance samplingMarkov chainIterative methodComputer scienceAdaptive optimizationSettore ING-INF/03 - TelecomunicazioniMarkov processSimulation techniquesCross-entropy; Importance sampling; Markov fluid models; Rare event simulation; Simulation techniquesMarkov fluid modelssymbols.namesakeRare event simulationCross entropyHardware and ArchitectureControl theoryModeling and SimulationPath (graph theory)symbolsTransient (computer programming)Cross-entropySoftwareImportance sampling
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