UOBYQA (Unconstrained Optimization BY Quadratic Approximation) is a numerical optimization algorithm by Michael J. D. Powell. It is also the name of… (More)

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2014

2014

- Rishi Srivastava, James B. Rawlings
- Computers & Chemical Engineering
- 2014

Recent years have seen increasing popularity of stochastic chemical kinetic models due to their ability to explain and model… (More)

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2012

2012

- Rishi Srivastava
- 2012

Recent years have seen increasing popularity of stochastic chemical kinetic models due to their ability to explain and model… (More)

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2009

2009

- Geng Deng, Michael C. Ferris
- Math. Program.
- 2009

The sample-path method is one of the most important tools in simulation-based optimization. The basic idea of the method is to… (More)

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2006

2006

- Geng Deng, Michael C. Ferris
- Proceedings of the 2006 Winter Simulation…
- 2006

In many real-world optimization problems, the objective function may come from a simulation evaluation so that it is (a) subject… (More)

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2005

2005

- R. OEUVRAY
- 2005

Derivative-free optimization involves the methods used to minimize an expensive objective function when its derivatives are not… (More)

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2004

2004

- Frank VANDEN BERGHEN, Hugues Bersini, Frank Vanden Berghen, Hugues Bersini
- 2004

This paper presents an algorithmic extension of Powell’s UOBYQA algorithm (”Unconstrained Optimization BY Quadratical… (More)

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Highly Cited

2002

Highly Cited

2002

- M. J. D. Powell
- Math. Program.
- 2002

UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the… (More)

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