BOBYQA

BOBYQA (Bound Optimization BY Quadratic Approximation) is a numerical optimization algorithm by Michael J. D. Powell. It is also the name of Powell's… (More)
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Topic mentions per year

Topic mentions per year

2009-2017
01220092017

Papers overview

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2016
2016
This paper presents a new hybrid optimizer in which an innovative optimal particles local search strategy on basis of bound… (More)
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2016
2016
We propose a multi-objective optimization algorithm aimed at achieving good anytime performance over a wide range of problems… (More)
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2015
2015
We propose a trust-region algorithm for constrained optimization problems in which the derivatives of the objective function are… (More)
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2013
2013
This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction… (More)
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2012
2012
Most publications on surrogate models have focused either on the prediction quality or on the optimization performance. It is… (More)
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2012
2012
We propose an iterative two-step method to compute a diffeomorphic non-rigid transformation between images of anatomical… (More)
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2012
2012
A circularly polarized antenna was designed using dipoles for the driven elements, and loops for the reflector and director… (More)
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2011
2011
ACOR is one of the most popular ant colony optimization algorithms for tackling continuous optimization problems. In this paper… (More)
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2010
2010
Smart well technology is attracting increasing attention because it promises to add operation flexibility and potentially… (More)
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2009
2009
BOBYQA is an iterative algorithm for finding a minimum of a function F (x), x∈Rn, subject to bounds a≤x≤b on the variables, F… (More)
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