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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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Papers overview

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2014
2014
We propose RoBiRank, a ranking algorithm that is motivated by observing a close connection between evaluation metrics for… 
2011
2011
Cet article etudie le probleme de trouver une politique optimale d'exploitation des centrales hydroelectriques d'Hydro-Quebec sur… 
2009
2009
Color is the major source of information widely used in image analysis and content-based retrieval. Extracting dominant colors… 
2009
2009
Problem statement: Solving the state assignment problem means finding the optimum assignment for each state within a sequential… 
2005
2005
An increasing attention is paid to probabilistic treatment of both commercial and academic research finite element codes… 
2002
2002
A new dynamical model is developed here to study the stochastic stability of Fault Tolerant Control Systems (FTCS) with multiple… 
2002
2002
One of the most significant problems in the training centers is presenting an exam timetabling due to enrolled subjects for each… 
1997
1997
| Population Based Incremental Learning (PBIL) is a stochastic search technique which combines characteristics of both the… 
Review
1996
Review
1996
This paper o ers a comprehensive review and classi cation of techniques to manipulate part routing sequences for manufacturing… 
1982
1982
This book is divided into four main sections, the first of which contains five papers dealing with the theoretical aspects of…