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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… 
Review
2012
Review
2012
Shock wave-dominated systems are very sensitive to uncertainties in initial or boundary conditions as they often give rise to… 
Highly Cited
2011
Highly Cited
2011
We propose a novel attentional model for simultaneous object tracking and recognition that is driven by gaze data. Motivated by… 
2011
2011
There are pressing economic as well as environmental arguments for the overhaul of the current outdated power grid, and its… 
2010
2010
We present a novel and efficient algorithm, Path Covering, for solving the most reliable subgraph problem. A reliable subgraph… 
2009
2009
Problem statement: Solving the state assignment problem means finding the optimum assignment for each state within a sequential… 
2004
2004
  • C. B. Atkins
  • 2004
  • Corpus ID: 3205809
This paper presents a new photo collection page layout that attempts to maximize page coverage without having photos overlap… 
2002
2002
A new dynamical model is developed here to study the stochastic stability of Fault Tolerant Control Systems (FTCS) with multiple… 
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…