Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 34 for “"simulation-based optimization"”.
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Simulation-based optimization of Markov decision processes
… a model is not available and one must resort to simulation or experimentation with an actual system. For all of these reasons, dynamic programming in its pure form may be inapplicable. In this thesis we study an approach for overcoming these difficulties where we use (a) compact (parametric) …
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Sediment Control In Alluvial Rivers Using Simulation-Based Optimization
… river reaches. This study proposes an innovative optimization procedure to control sediment in alluvial rivers during extreme events based on the integration of sediment transport model with optimization approach. The aim of this study is to develop a decision making method which to minimize …
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Multi-model simulation-based optimization applied to urban transportation
… agencies often resort to the use of traffic simulation models to evaluate the impacts of changes in network design or network operations. They often have multiple traffic simulation tools that cover the network area where changes are to be made. Nonetheless, these multiple simulators may …
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On the Effect of Numerical Noise in Simulation-Based Optimization
… noise is a prevalent concern in many practical optimization problems. Convergence of gradient based optimization algorithms in the presence of numerical noise is not always assured. One way to improve optimization algorithm performance in the presence of numerical noise is to adjust the method …
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OPTIMAL COMPUTING BUDGET ALLOCATION FOR SIMULATION BASED OPTIMIZATION AND COMPLEX DECISION MAKING
… considers the problem how to get a best result based on the simulation output under a computing budget constraint. It is not only an efficient ranking and selection procedure for simulation problems with finite candidate solutions but also an attractive concept of resource allocation under …
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Computationally efficient simulation-based optimization algorithms for large-scale urban transportation problems
… we propose novel computationally efficient optimization algorithms that derive effective traffic management strategies to reduce congestion and improve the efficiency of urban transportation systems. The proposed algorithms enable the use of high-resolution yet computationally inefficient …
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Learning from noisy data through robust feature selection, ensembles and simulation-based optimization
… individual samples prevents the use of instance-based learning. In these contexts, parametric models can be learned through simulations to take into account the inherent stochastic nature of the processes involved. This dissertation includes contributions to different learning problems …
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Exploration and Exploitation Techniques for High-Dimensional Simulation-Based Optimization Problems in Urban Transportation
Stochastic traffic and mobility simulation models are popular tools for modeling urban transportation networks. However, their use for optimizing urban transportation networks can be challenging due to their computationally intensive nature. This thesis focuses on high-dimensional simulation-based …
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A Hybrid Tabu/Scatter Search Algorithm for Simulation-Based Optimization of Multi-Objective Runway Operations Scheduling
… applicability in practice. On the other hand, simulation-based methods have the capability to characterize complex and stochastic real-life runway operations in detail, and to cope with several constraints and stakeholders’ preferences, which are commonly considered as important factors in …
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Surrogate Neural Networks for Efficient Simulation-based Trajectory Planning Optimization
… networks to reduce the computation time of simulation-based optimization of a reference trajectory. Simulation-based optimization is necessary when there is no analytical form of the system accessible, only input-output data that can be used to create a surrogate model of the simulation. …
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Calibrating activity-based travel demand model system via microsimulation
… addresses the problem of calibrating activity-based travel demand model systems. After estimation, it is common practice to use aggregate measurements to calibrate the estimated model system's parameters. However, calibration of activity-based model systems has received much less attention. …
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Simulation-Based Decision Making with Streaming Data
This dissertation studies simulation-based decision making in environments where data arrive sequentially over time. Many real-world decision problems involve complex stochastic systems whose performance cannot be evaluated analytically and must instead be estimated through simulation. At the same …
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Demand uncensored : car-sharing mobility services using data-driven and simulation-based techniques
… and conceptually simple detruncation technique based on sampling the observed data according to weights learned by solving a simulation-based optimization problem; this method is especially appropriate in cases where little analytic information about the unknown distribution is available but the …
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LOW-EMISSIONS HYDROGEN FROM MCH DEHYDROGENATION: INTEGRATION WITH LNG REGASIFICATION
… in this study and demonstrated via modelling and simulation to reduce energy use. LNG provides a cold source for high recovery cryogenic flash separation, and generates power in an organic Rankine cycle to reduce/eliminate external electricity demand for hydrogen compression to the high (end use) …
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Modeling Considerations for the Long-Term Generation and Transmission Expansion Power System Planning Problem
… candidates' system impacts using these schemes. Simulation based optimization provides a systematic way to explore acceptable expansion plans and choose one or several "best" plans while considering those complex dependencies. Using optimization to solve the minimum-cost, reliability-constrained …
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Urban transportation networks : analytical modeling of spatial dependencies and calibration techniques for stochastic traffic simulators
… and traffic flows. The method is embedded in a simulation-based optimization framework and applied to a calibration problem.
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Electrical Manipulation of Spin Dynamics in Ferromagnetic Multi-layers
… of the second mechanism centres on the simulation-based optimization of the low-impedance microwave resonators fabricated from 80 nm-thick Nb layers on 430 µm thick sapphire substrates and the various coupling effects present in the system. The simulation results are analysed using an …
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A simulation-based resource optimization and time reduction model using design structure matrix
… as stochastic durations. This thesis presents a simulation-based optimization model for solving resource-constrained product development project scheduling problems. The model uses design structure matrix (DSM) to represent the information exchange among various tasks of a project. Instead of a …
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Mitigating emissions and energy consumption for urban transportation networks : simulation-based signal control strategies
… is currently a lack of computationally efficient optimization techniques that enable the use of these complex integrated models to design sustainable transportation strategies. This thesis proposes a methodology that combines a stochastic microscopic traffic simulation model with an instantaneous …
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