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Derivative-free optimization
Derivative free optimization (or derivative-free optimization) is a subject of mathematical optimization. It may refer to problems for which…
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19 relations
Adaptive coordinate descent
BOBYQA
Bayesian optimization
CMA-ES
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods
A. Berahas
,
R. Byrd
,
J. Nocedal
SIAM Journal on Optimization
2018
Corpus ID: 89603779
This paper presents a finite difference quasi-Newton method for the minimization of noisy functions. The method takes advantage…
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2018
2018
Automatic Generation of Semantically Rich As‐Built Building Information Models Using 2D Images: A Derivative‐Free Optimization Approach
Fan Xue
,
Weisheng Lu
,
Ke Chen
Comput. Aided Civ. Infrastructure Eng.
2018
Corpus ID: 51747243
Over the past decade a considerable number of studies have focused on generating semantically rich as‐built building information…
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Highly Cited
2016
Highly Cited
2016
Derivative-Free Optimization via Classification
Yang Yu
,
Hong Qian
,
Yi-Qi Hu
AAAI Conference on Artificial Intelligence
2016
Corpus ID: 2579232
Many randomized heuristic derivative-free optimization methods share a framework that iteratively learns a model for…
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Highly Cited
2016
Highly Cited
2016
A reliable modifier-adaptation strategy for real-time optimization
Weihua Gao
,
S. Wenzel
,
S. Engell
Computers and Chemical Engineering
2016
Corpus ID: 26763599
Review
2013
Review
2013
A survey of non-gradient optimization methods in structural engineering
W. Hare
,
J. Nutini
,
S. Tesfamariam
Advances in Engineering Software
2013
Corpus ID: 8098606
Review
2011
Review
2011
Derivative-Free Optimization
D. Gleich
Computational Optimization, Methods and…
2011
Corpus ID: 44792035
In many engineering applications it is common to find optimization problems where the cost function and/or constraints require…
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Highly Cited
2011
Highly Cited
2011
Identification of process and measurement noise covariance for state and parameter estimation using extended Kalman filter
Vinay A. Bavdekar
,
A. Deshpande
,
S. Patwardhan
2011
Corpus ID: 15372601
Highly Cited
2010
Highly Cited
2010
Sequential Penalty Derivative-Free Methods for Nonlinear Constrained Optimization
G. Liuzzi
,
S. Lucidi
,
M. Sciandrone
SIAM Journal on Optimization
2010
Corpus ID: 15691285
We consider the problem of minimizing a continuously differentiable function of several variables subject to smooth nonlinear…
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Highly Cited
2006
Highly Cited
2006
Stationarity Results for Generating Set Search for Linearly Constrained Optimization
T. Kolda
,
R. Lewis
,
V. Torczon
SIAM Journal on Optimization
2006
Corpus ID: 4672650
We present a new generating set search (GSS) approach for minimizing functions subject to linear constraints. GSS is a class of…
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2000
2000
Derivative free optimization method
Sfw Eng 46-TE
,
T. Terlaky
,
K. Scheinberg
2000
Corpus ID: 17706111
Derivative free optimization (DFO) methods are typically designed to solve optimization problems whose objective function is…
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