Population-based incremental learning

Known as: PBIL, Population based incremental learning 
In computer science and machine learning, population-based incremental learning (PBIL) is an optimization algorithm, and an estimation of… (More)
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2011
2011
In network coding based multicast, coding operations need to be minimized as they consume computational resources and increase… (More)
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2009
2009
The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning… (More)
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Highly Cited
2008
Highly Cited
2008
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its… (More)
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2008
2008
In this paper we propose a new probability update rule and sampling procedure for population-based incremental learning. These… (More)
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Highly Cited
2008
Highly Cited
2008
This paper describes a novel feature selection algorithm for unsupervised clustering, that combines the clustering ensembles… (More)
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2008
2008
Frequency assignment problem (FAP) is a very important issue in the field of telecommunications (especially in GSM-Global System… (More)
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2007
2007
This paper presents a methodology for using heuristic search methods to optimize scheduling problem. Specifically, an estimation… (More)
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2006
2006
Here, we propose a convergence proof for the Population-Based Incremental Learning (PBIL). First, we model the PBIL by a Markov… (More)
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Highly Cited
1998
Highly Cited
1998
An alternative to Darwinian-like artiicial evolution is ooered by Population-Based Incremental Learning (PBIL): this algorithm… (More)
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1997
1997
| Population Based Incremental Learning (PBIL) is a stochastic search technique which combines characteristics of both the… (More)
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