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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
AIMMSCMA-ESConstructive cooperative coevolutionCross-entropy method

Broader (1)

Estimation theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
An iterative stochastic ensemble method for parameter estimation of subsurface flow models
Highly Cited
2011
Highly Cited
2011
Learning attentional policies for tracking and recognition in video with deep networks
We propose a novel attentional model for simultaneous object tracking and recognition that is driven by gaze data. Motivated by… 
Highly Cited
2008
Highly Cited
2008
Particle swarm approaches using Lozi map chaotic sequences to fuzzy modelling of an experimental thermal-vacuum system
2008
2008
Shadow prices of environmental outputs and production efficiency of household-level paper recycling units in Vietnam
Highly Cited
2003
Highly Cited
2003
On the Pricing of Forward Starting Options under Stochastic Volatility
We consider the problem of pricing European forward starting options in the presence of stochastic ­volatility. By performing a… 
1996
1996
Nonlinear combustion instabilities and stochastic sources
An investigation of combustion instabilities was conducted using an approximate analysis which allows any relevant physical… 
Review
1996
Review
1996
A Comprehensive Review of Production-oriented Manufacturing Cell Formation Techniques
This paper o ers a comprehensive review and classi cation of techniques to manipulate part routing sequences for manufacturing… 
Highly Cited
1994
Highly Cited
1994
A hybrid algorithm for finding the global minimum of error function of neural networks and its applications
1987
1987
Methods for Selecting the Optimal Dynamic Hedge When Production is Stochastic
A dynamic hedging problem with stochastic production is solved. The optimal feedback rules recognize that future hedges will be… 
Highly Cited
1981
Highly Cited
1981
APPROXIMATION AND CONVERGENCE IN NONLINEAR OPTIMIZATION
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