Search Results - UOBYQA algorithm

CONDOR, a new parallel, constrained extension of Powell's UOBYQA algorithm: Experimental results and comparison with the DFO algorithm by 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 by 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 by 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 by 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 by Powell, M.J.D.

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Dual Loop line-focusing solar power plants with supercritical Brayton power cycles by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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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