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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… 
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Papers overview

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2014
2014
In this paper, we study from the perspective of an insurance company the Reinsurance Contract Placement problem. Given a… 
2013
2013
Population-Based Incremental Learning (PBIL) is a relatively new class of Evolutionary Algorithms (EA) that has been recently… 
2008
2008
Frequency assignment problem (FAP) is a very important issue in the field of telecommunications (especially in GSM-Global System… 
2007
2007
This paper presents a methodology for using heuristic search methods to optimize scheduling problem. Specifically, an estimation… 
2006
2006
The population-based incremental learning (PBIL) is a novel evolutionary algorithm combined the mechanisms of the Genetic… 
2003
2003
In this paper, we address some issue related to evaluating and testing evolutionary algorithms. A landscape generator based on… 
2002
2002
We propose to apply the Boltzmann machine (BM) to population-based incremental learning (PBIL). We will replace the statistical… 
1999
1999
Abstract We investigate a recently developed abstraction of genetic algorithms (GAs) in which a population of GAs in any… 
1999
1999
Population-based incremental learning (PBIL) is a recently developed evolutionary computing technique based on concepts found in… 
1998
1998
The population-based incremental learning (PBIL) algorithm is a simple stochastic optimisation technique that can be applied…