Suchergebnisse - UOBYQA algorithm

CONDOR, a new parallel, constrained extension of Powell's UOBYQA algorithm: Experimental results and comparison with the DFO algorithm von Vanden Berghen, Frank, Bersini, Hugues

“… This paper presents an algorithmic extension of Powell's UOBYQA algorithm ( Unconstrained Optimization BY Quadratical Approximation …”
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Adaptation of the Uobyqa Algorithm for Noisy Functions von Geng Deng, Ferris, M.C.

“… In this paper, we modify Powell's UOBYQA algorithm to handle those real-world simulation problems …”
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Adaptation of the UOBYQA algorithm for noisy functions von Deng, Geng, Ferris, Michael C.

“… In this paper, we modify Powell's UOBYQA algorithm to handle those real-world simulation problems …”
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Adaptation of the UOBYQA algorithm for noisy functions von Deng, Geng, Ferris, Michael C

“… In this paper, we modify Powell's UOBYQA algorithm to handle those real-world simulation problems …”
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UOBYQA: unconstrained optimization by quadratic approximation von Powell, M.J.D.

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Dual Loop line-focusing solar power plants with supercritical Brayton power cycles von Coco-Enríquez, L., Muñoz-Antón, J., Martínez-Val, J.M.

“… This study is focused on proposing the combination of a Dual Loop solar field, with Dowtherm A and the Solar Salt as heat transfer fluids in parabolic or …”
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New text comparison between CO2 and other supercritical working fluids (ethane, Xe, CH4 and N2) in line- focusing solar power plants coupled to supercritical Brayton power cycles von Coco-Enríquez, L., Muñoz-Antón, J., Martínez-Val, J.M.

“… This study is focused on comparing four supercritical fluids: Ethane, Xenon, Methane and Nitrogen, as possible alternative to supercritical Carbon Dioxide …”
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PDFO: a cross-platform package for Powell’s derivative-free optimization solvers von Ragonneau, Tom M., Zhang, Zaikun

“… The late Professor M. J. D. Powell devised five trust-region methods for derivative-free optimization, namely COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA …”
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Model-Based Derivative-Free Optimization Methods and Analysis of Stochastic Nonlinear Optimization von Cao, Liyuan

“… Powell in his algorithms such as UOBYQA and NEWUOA. An essential idea from these algorithms is known as poisedness …”
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Combining Optical and X-ray Observations of Galaxy Clusters to Constrain Cosmological Parameters von Yu, Heng, Zong-Hong, Zhu

“… Galaxy clusters have their unique advantages for cosmology. Here we collect a new sample of 10 lensing galaxy clusters with X-ray observations to constrain …”
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Watershed calibration using multistart local optimization and evolutionary optimization with radial basis function approximation von SHOEMAKER, CHRISTINE A., REGIS, ROMMEL G., FLEMING, RYAN C.

“… Calibration of computationally expensive watershed models is more feasible with algorithms that require fewer simulations …”
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Boosters: A Derivative-Free Algorithm Based on Radial Basis Functions von Oeuvray, R., Bierlaire, M.

“… We have tested the algorithm against the best state-of-the-art methods (UOBYQA, NEWUOA, DFO). The tests on the problems from the CUTEr collection show that BOOSTERS is performing very well on medium-size problems …”
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BOOSTERS: A DERIVATIVE-FREE ALGORITHM BASED ON RADIAL BASIS FUNCTIONS von Oeuvray, R, Bierlaire, M

“… We have tested the algorithm against the best state-of-the-art methods (UOBYQA, NEWUOA, DFO). The tests on the problems from the CUTEr collection show that BOOSTERS is performing very well on medium-size problems …”
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A family-based likelihood ratio test for general pedigree structures that allows for missing data and genotyping errors von Yang, Yang

“… The purpose of this work is to design a likelihood ratio test (LRT) that uses the information of both affected and unaffected individuals from a general …”
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Variable-Number Sample-Path Optimization von Deng, Geng, Ferris, Michael C.

“… In this paper, we describe a new variant of Powell’s unconstrained optimization by quadratic approximation (UOBYQA …”
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A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions von Regis, Rommel G, Shoemaker, Christine A

“… We introduce a new framework for the global optimization of computationally expensive multimodal functions when derivatives are unavailable. The proposed …”
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About the Performance of a Calculus-Based Approach to Building Model Functions in a Derivative-Free Trust-Region Algorithm von Hare, Warren, Jarry-Bolduc, Gabriel

“… This paper examines a calculus-based approach to building model functions in a derivative-free algorithm …”
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Bayesian Calibration and Uncertainty Analysis for Computationally Expensive Models Using Optimization and Radial Basis Function Approximation von Bliznyuk, Nikolay, Ruppert, David, Shoemaker, Christine, Regis, Rommel, Wild, Stefan, Mugunthan, Pradeep

“… We presenta Bayesian approach to model calibration when evaluation of the model is computationally expensive. Here, calibration is a nonlinear regression …”
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Parallel radial basis function methods for the global optimization of expensive functions von Regis, Rommel G., Shoemaker, Christine A.

“… –171] (CORS-RBF). We modify these algorithms so that they can generate multiple points for simultaneous evaluation in parallel …”
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