Population-based incremental learning
- Population-based incremental learning
In machine learning and soft computing, population-based incremental learning (PBIL) is a type of genetic algorithm where the genotype of an entire population is evolved rather than individual members [Citation
last1 = Karray | first1 = Fakhreddine O.
last2 = de Silva | first2 = Clarence
title = Soft computing and intelligent systems design
date = 2004
publisher = Addison Wesley
isbn = 0-321-11617-8] .__TOC__
Genotype representation
In PBIL, genes are represented as real values in the range [0,1] , indicating the probability that any particular allele appears in that gene.
Algorithm
The PBIL algorithm is as follows:
# A population is generated.
# The fitness of each member is evaluated and ranked.
# Update population genotype based on fittest individual.
# Repeat steps 2-3
ee also
* Estimation of Distribution Algorithm
References
Wikimedia Foundation.
2010.
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