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Stochastic optimization
Known as:
Stochastic optimisation
, Stochastic search
Stochastic optimization (SO) methods are optimization methods that generate and use random variables. For stochastic problems, the random variables…
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Related topics
Related topics
48 relations
AIMMS
CMA-ES
Constructive cooperative coevolution
Cross-entropy method
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Broader (1)
Estimation theory
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Multi-Objective Stochastic Search for Sampling Local Minima in the Protein Energy Surface
Brian S. Olson
,
Amarda Shehu
ACM International Conference on Bioinformatics…
2013
Corpus ID: 6749796
We present an evolutionary stochastic search algorithm to obtain a discrete representation of the protein energy surface in terms…
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Highly Cited
2011
Highly Cited
2011
Learning attentional policies for tracking and recognition in video with deep networks
Loris Bazzani
,
Nando de Freitas
,
H. Larochelle
,
Vittorio Murino
,
Jo-Anne Ting
International Conference on Machine Learning
2011
Corpus ID: 15076966
We propose a novel attentional model for simultaneous object tracking and recognition that is driven by gaze data. Motivated by…
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Highly Cited
2008
Highly Cited
2008
Particle swarm approaches using Lozi map chaotic sequences to fuzzy modelling of an experimental thermal-vacuum system
E. Araujo
,
L. Coelho
Applied Soft Computing
2008
Corpus ID: 15179593
2008
2008
Shadow prices of environmental outputs and production efficiency of household-level paper recycling units in Vietnam
N. Hạ
,
S. Kant
,
V. Maclaren
2008
Corpus ID: 18770124
Highly Cited
2003
Highly Cited
2003
On the Pricing of Forward Starting Options under Stochastic Volatility
S. Kruse
,
Vorwort Das
,
Susanne Kruse
2003
Corpus ID: 14252666
We consider the problem of pricing European forward starting options in the presence of stochastic volatility. By performing a…
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Highly Cited
1996
Highly Cited
1996
Inspection allocation in manufacturing systems using stochastic search techniques
N. Viswanadham
,
Shashi M. Sharma
,
Mukesh Taneja
IEEE Trans. Syst. Man Cybern. Part A
1996
Corpus ID: 10775064
Quality is the hallmark of a competitive product. It is necessary to use inspection stations to check product quality and process…
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Review
1996
Review
1996
A Comprehensive Review of Production-oriented Manufacturing Cell Formation Techniques
A. E. King
1996
Corpus ID: 15440431
This paper o ers a comprehensive review and classi cation of techniques to manipulate part routing sequences for manufacturing…
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Highly Cited
1994
Highly Cited
1994
A hybrid algorithm for finding the global minimum of error function of neural networks and its applications
N. Baba
,
Y. Mogami
,
Motokazu Kohzaki
,
Y. Shiraishi
,
Yutaka Yoshida
Neural Networks
1994
Corpus ID: 37941990
1987
1987
Methods for Selecting the Optimal Dynamic Hedge When Production is Stochastic
L. Karp
1987
Corpus ID: 55885206
A dynamic hedging problem with stochastic production is solved. The optimal feedback rules recognize that future hedges will be…
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Highly Cited
1981
Highly Cited
1981
APPROXIMATION AND CONVERGENCE IN NONLINEAR OPTIMIZATION
H. Attouch
,
R. Wets
1981
Corpus ID: 117625960
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