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NEWUOA

NEWUOA is a numerical optimization algorithm by Michael J. D. Powell. It is also the name of Powell's Fortran 77 implementation of the algorithm… 
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Papers overview

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2017
2017
Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecrafts
The correlation of the thermal mathematical models (TMMs) of spacecrafts with the results of the thermal test is a demanding task… 
2017
2017
Genetic Algorithm with Modified Crossover for Grillage Optimization
Modified genetic algorithm with special phenotypes' selection and crossover operators with default specified rules is proposed in… 
2016
2016
Parametrizace ekvalizace elektronegativity metodoudiferenciální evoluce
Abstrakt formou posteru popisuje řeseni parametrizace pro metodu ekvalizace elektronegativity pomoci metody diferencialni evoluce… 
2015
2015
Model-based sensor-less wavefront aberration correction in optical coherence tomography
Several sensor-less wavefront aberration correction methods that correct nonlinear wavefront aberrations by maximizing the OCT… 
2013
2013
A derivative-free algorithm for linearly constrained optimization problems
Based on the NEWUOA algorithm, a new derivative-free algorithm is developed, named LCOBYQA. The main aim of the algorithm is to… 
2011
2011
Optimal Placement of Piles in Real Grillages: Experimental Comparison of Optimization Algorithms
The aim of the article is to choose algorithms suited for optimal placement of piles in real grillages by performing experimental… 
2009
2009
SERIE “ A ” TRABAJOS DE MATEMÁTICA N o 96 / 09 Active-set strategy in NEWUOA for optimization without derivatives
We present an algorithm for solving unconstrained optimization problems without derivatives based on NEWUOA, the Powell’s… 
2009
2009
Real-Parameter Black-Box Optimisation: Benchmarking and Designing Algorithms. (Optimisation Continue Boîte Noire : Comparaison et Conception d'Algorithmes)
In continuous optimisation a given problem can be stated as follows: given the objective function f from R^n to R with n the… 
2009
2009
Optimization methods for individual-based model parameter estimation in predictive microbiology
In the framework of microbiology, Individual-based Models are discrete models in which the main entities are microbes. Their use… 
2007
2007
Developments of NEWUOA for unconstrained minimization without derivatives
The NEWUOA software is described briefly, with some numerical re- sults that show good efficiency and accuracy in the unconstrai… 
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