Nelder–Mead method

Known as: Amoeba simplex, Downhill simplex method, Nelder-Mead 
The Nelder–Mead method or downhill simplex method or amoeba method is a commonly applied numerical method used to find the minimum or maximum of an… (More)
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Topic mentions per year

Topic mentions per year

1978-2017
0204019782017

Papers overview

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2017
2017
The multiobjective evolutionary algorithm based on decomposition (MOEA/D) converts a multiobjective optimization problem into a… (More)
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2017
2017
In deep learning, deep neural network (DNN) hyperparameters can severely affect network performance. Currently, such… (More)
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2015
2015
This brief concerns the design and application of a Riemannian Nelder-Mead algorithm to minimize a Hartley-entropy-based contrast… (More)
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2013
2013
This papers addresses the problem of localization of mobile devices in WiFi IEEE 802.11 networks considering indoor applications… (More)
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2011
2011
Despite the application of advanced control technique to improve the performance of electro-hydraulic position control, PID… (More)
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Highly Cited
2009
Highly Cited
2009
Constrained optimization problems are very important in that they frequently appear in the real world. A constrained optimization… (More)
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2002
2002
One of the fundamental difficulties in engineering design is the multiplicity of local solutions. This has triggered great… (More)
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2002
2002
One of the fundamental difficulties in engineering design is the multiplicity of local solutions. This has triggered much effort… (More)
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Highly Cited
1998
Highly Cited
1998
The Nelder–Mead simplex algorithm, first published in 1965, is an enormously popular direct search method for multidimensional… (More)
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Highly Cited
1998
Highly Cited
1998
This paper analyzes the behavior of the Nelder–Mead simplex method for a family of examples which cause the method to converge to… (More)
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