Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

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.
2019
2019
Physical-biogeochemical regional ocean model uncertainties stemming from stochastic parameterizations and potential impact on data assimilation
Abstract. We generate ocean biogeochemical model ensembles including several kinds of stochastic parameterizations. The NEMO… 
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
2011
Highly Cited
2011
Two-stage update biogeography-based optimization using differential evolution algorithm (DBBO)
2008
2008
Shadow prices of environmental outputs and production efficiency of household-level paper recycling units in Vietnam
2004
2004
Decision support tools for environmentally benign process design under uncertainty
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… 
Highly Cited
2002
Highly Cited
2002
Index Tracking : Genetic Algorithms for Investment Portfolio Selection
This project was concerned with passive portfolio selection using genetic algorithms and quadratic programming techniques… 
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… 
1996
1996
Nonlinear combustion instabilities and stochastic sources
An investigation of combustion instabilities was conducted using an approximate analysis which allows any relevant physical… 
Highly Cited
1994
Highly Cited
1994
A hybrid algorithm for finding the global minimum of error function of neural networks and its applications
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)