# Population-based incremental learning

## Papers overview

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2011

2011

- IEEE Communications Letters
- 2011

In network coding based multicast, coding operations need to be minimized as they consume computational resources and increaseâ€¦Â (More)

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2009

2009

- IEEE Congress on Evolutionary Computation
- 2009

The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learningâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- IEEE Transactions on Evolutionary Computation
- 2008

In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to itsâ€¦Â (More)

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2008

2008

- Inf. Sci.
- 2008

In this paper we propose a new probability update rule and sampling procedure for population-based incremental learning. Theseâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- Pattern Recognition
- 2008

This paper describes a novel feature selection algorithm for unsupervised clustering, that combines the clustering ensemblesâ€¦Â (More)

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2008

2008

- The Second International Conference on Advancedâ€¦
- 2008

Frequency assignment problem (FAP) is a very important issue in the field of telecommunications (especially in GSM-Global Systemâ€¦Â (More)

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2007

2007

- Second Workshop on Digital Media and itsâ€¦
- 2007

This paper presents a methodology for using heuristic search methods to optimize scheduling problem. Specifically, an estimationâ€¦Â (More)

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2006

2006

- Neurocomputing
- 2006

Here, we propose a convergence proof for the Population-Based Incremental Learning (PBIL). First, we model the PBIL by a Markovâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- PPSN
- 1998

An alternative to Darwinian-like artiicial evolution is ooered by Population-Based Incremental Learning (PBIL): this algorithmâ€¦Â (More)

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1997

1997

- 1997

| Population Based Incremental Learning (PBIL) is a stochastic search technique which combines characteristics of both theâ€¦Â (More)

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