Pattern search (optimization)

Known as: Pattern search 
Pattern search (PS) is a family of numerical optimization methods that do not require the gradient of the problem to be optimized. Hence PS can be… (More)
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Topic mentions per year

Topic mentions per year

1972-2018
020406019722018

Papers overview

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Highly Cited
2007
Highly Cited
2007
In this paper we develop, analyze, and test a new algorithm for the global minimization of a function subject to simple bounds… (More)
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Highly Cited
2006
Highly Cited
2006
This paper introduces the Mesh Adaptive Direct Search (MADS) class of algorithms for nonlinear optimization. MADS extends the… (More)
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Highly Cited
2006
Highly Cited
2006
In recent years, there has been a great deal of interest in metaheuristics in the optimization community. Tabu Search (TS… (More)
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Highly Cited
2004
Highly Cited
2004
This paper formulates and analyzes a pattern search method for general constrained optimization based on filter methods for step… (More)
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Highly Cited
2002
Highly Cited
2002
We give a pattern search method for nonlinearly constrained optimization that is an adaption of a bound constrained augmented… (More)
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Highly Cited
2002
Highly Cited
2002
This paper contains a new convergence analysis for the Lewis and Torczon GPS class of pattern search methods for linearly… (More)
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Highly Cited
2002
Highly Cited
2002
We develop a fully-automated pattern search methodology for model selection of support vector machines (SVMs) for regression and… (More)
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Highly Cited
2001
Highly Cited
2001
We introduce a new asynchronous parallel pattern search (APPS). Parallel pattern search can be quite useful for engineering… (More)
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Highly Cited
2000
Highly Cited
2000
We extend pattern search methods to linearly constrained minimization. We develop a general class of feasible point pattern… (More)
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Highly Cited
1997
Highly Cited
1997
We introduce an abstract definition of pattern search methods for solving nonlinear unconstrained optimization problems. Our… (More)
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