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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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Related topics
Related topics
6 relations
Algorithm
Computer science
Estimation of distribution algorithm
Genetic algorithm
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
COVERAGE IMPROVEMENT USING GLA (GENETIC LEARNING AUTOMATA) ALGORITHM IN WIRELESS SENSOR NETWORKS
Khezri Shirin
,
Osmani Amjad
,
Eslamnour Behdis
2015
Corpus ID: 209472692
Coverage improvement is one of the main problems in wireless sensor networks. Given a finite number of sensors, improvement of…
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2014
2014
Effective hybrid population-based incremental learning algorithm for vehicle routing problem with time windows
Meng Xiang-h
2014
Corpus ID: 156718820
A hybrid population-based incremental learning algorithm,namely HPBIL,is proposed to simultaneously minimize the number of…
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2011
2011
Breaking Knapsack Cipher Using Population Based Incremental Learning
Nasreen J. Kadhim
2011
Corpus ID: 15182612
The demand for effective internet security is increasing exponentially day by day. Businesses have an obligation to protect…
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2010
2010
Intelligent Watermarking with Multi-objective Population Based Incremental Learning
Bassem S. Rabil
,
R. Sabourin
,
Eric Granger
Sixth International Conference on Intelligent…
2010
Corpus ID: 18221208
Intelligent watermarking techniques use nonconventional methods like Evolutionary Computation techniques to satisfy the trade-off…
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2009
2009
Stereo Matching Algorithm Using Population-Based Incremental Learning on GPU
Dong Nie
,
Kyu-Phil Han
,
Heng-Suk Lee
International Workshop on Intelligent Systems and…
2009
Corpus ID: 18154976
To solve the general problems of genetic algorithms applied in stereo matching, two measures are proposed. Firstly, the strategy…
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2002
2002
Boltzmann Machine for Population-Based Incremental Learning
A. Berny
European Conference on Artificial Intelligence
2002
Corpus ID: 9797905
We propose to apply the Boltzmann machine (BM) to population-based incremental learning (PBIL). We will replace the statistical…
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1999
1999
On the similarities between AS, BSC and PBIL: toward the birth of a new meta-heuristic
N. Monmarché
,
É. Ramat
,
Guillaume Dromel
,
M. Slimane
,
G. Venturini
1999
Corpus ID: 6317220
One can notice that several work in genetic or ant-based optimization such as the BSC, PBIL or AS, are leading in the same…
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1998
1998
POOL-WISE CROSSOVER IN GENETIC ALGORITHMS : AN INFORMATION-THEORETIC VIEW
S. Baluja
,
S. Davies
,
Henry St. Pittsburgh
1998
Corpus ID: 17851115
Several recent studies have examined the effects of replacing the pair-wise recombination operators often used by genetic…
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1997
1997
Function Optimisation Using Multiple-base Population Based Incremental Learning
M. Servais
,
G. de Jager
,
J. Greene
1997
Corpus ID: 18698356
| Population Based Incremental Learning (PBIL) is a stochastic search technique which combines characteristics of both the…
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1997
1997
Evolving an intelligent vehicle for tactical reasoning in traffic
R. Sukthankar
,
S. Baluja
,
J. Hancock
Proceedings of International Conference on…
1997
Corpus ID: 11670519
Recent research in automated highway systems has ranged from low-level vision-based controllers to high-level route-guidance…
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