Population-Based Incremental Learning With Associative Memory for Dynamic Environments

Shengxiang Yang;  Xin Yao

doi:10.1109/tevc.2007.913070

Population-Based Incremental Learning With Associative Memory for Dynamic Environments

IEEE Transactions on Evolutionary Computation ◽

10.1109/tevc.2007.913070 ◽

2008 ◽

Vol 12 (5) ◽

pp. 542-561 ◽

Cited By ~ 184

Author(s):

Shengxiang Yang ◽

Xin Yao

Keyword(s):

Associative Memory ◽

Incremental Learning ◽

Dynamic Environments ◽

Population Based

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Hyper-learning for population-based incremental learning in dynamic environments

2009 IEEE Congress on Evolutionary Computation ◽

10.1109/cec.2009.4983011 ◽

2009 ◽

Cited By ~ 18

Author(s):

Shengxiang Yang ◽

Hendrik Richter

Keyword(s):

Incremental Learning ◽

Dynamic Environments ◽

Population Based

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A hybrid population based incremental learning algorithm with Particle Swarm Optimization for general threshold Visual Cryptography schemes

Materials Today Proceedings ◽

10.1016/j.matpr.2020.12.1127 ◽

2021 ◽

Author(s):

Srinivasa Rao Kanusu ◽

Sridhar Mandapati

Keyword(s):

Particle Swarm Optimization ◽

Incremental Learning ◽

Learning Algorithm ◽

Particle Swarm ◽

Visual Cryptography ◽

Population Based ◽

Hybrid Population ◽

Swarm Optimization

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A New Virtual Population Based Incremental Learning Approach for Optimizations Using Selfish Gene Theory

2009 Fifth International Conference on Natural Computation ◽

10.1109/icnc.2009.577 ◽

2009 ◽

Author(s):

Feng Wang ◽

Yuanxiang Li

Keyword(s):

Incremental Learning ◽

Population Based ◽

Learning Approach ◽

Selfish Gene ◽

Virtual Population ◽

Gene Theory ◽

Selfish Gene Theory

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Using Population-Based Incremental Learning Algorithm to Quantify the Uncertainty in Model Parameters

69th EAGE Conference and Exhibition incorporating SPE EUROPEC 2007 ◽

10.3997/2214-4609.201401692 ◽

2007 ◽

Cited By ~ 1

Author(s):

I. Petrovska ◽

J. N. Carter

Keyword(s):

Incremental Learning ◽

Learning Algorithm ◽

Population Based ◽

Model Parameters

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Improved Population-Based Incremental Learning of Bayesian Networks with partly known structure and parallel computing

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2020.103920 ◽

2020 ◽

Vol 95 ◽

pp. 103920

Author(s):

Lingquan Zeng ◽

Zhiqiang Ge

Keyword(s):

Parallel Computing ◽

Bayesian Networks ◽

Incremental Learning ◽

Population Based

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A new approach to the Population-Based Incremental Learning algorithm using virtual regions for task mapping on NoCs

Journal of Systems Architecture ◽

10.1016/j.sysarc.2019.01.013 ◽

2019 ◽

Vol 97 ◽

pp. 443-454 ◽

Cited By ~ 2

Author(s):

L.G. García Morales ◽

J.E. Aedo Cobo ◽

N. Bagherzadeh

Keyword(s):

Incremental Learning ◽

Learning Algorithm ◽

Population Based ◽

Task Mapping ◽

New Approach

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Variable selection in statistical models using population-based incremental learning with applications to genome-wide association studies

2012 IEEE Congress on Evolutionary Computation ◽

10.1109/cec.2012.6256577 ◽

2012 ◽

Author(s):

Hien Duy Nguyen ◽

Ian A. Wood

Keyword(s):

Variable Selection ◽

Statistical Models ◽

Incremental Learning ◽

Association Studies ◽

Population Based ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genome Wide

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A diversity maintaining population-based incremental learning algorithm

Information Sciences ◽

10.1016/j.ins.2008.07.005 ◽

2008 ◽

Vol 178 (21) ◽

pp. 4038-4056 ◽

Cited By ~ 40

Author(s):

Mario Ventresca ◽

Hamid R. Tizhoosh

Keyword(s):

Incremental Learning ◽

Learning Algorithm ◽

Population Based

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A New Implementation of Population Based Incremental Learning Method for Optimization Studies in Electromagnetics

2006 12th Biennial IEEE Conference on Electromagnetic Field Computation ◽

10.1109/cefc-06.2006.1632955 ◽

2006 ◽

Author(s):

S.Y. Yang ◽

S.L. Ho ◽

G.Z. Ni ◽

J.M. Machado ◽

K.F. Wong

Keyword(s):

Incremental Learning ◽

Population Based ◽

Learning Method ◽

Incremental Learning Method

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A Population-Based Incremental Learning Vector Algorithm for Multiobjective Optimal Designs

IEEE Transactions on Magnetics ◽

10.1109/tmag.2010.2093571 ◽

2011 ◽

Vol 47 (5) ◽

pp. 1306-1309 ◽

Cited By ~ 6

Author(s):

S. L. Ho ◽

Shiyou Yang ◽

W. N. Fu

Keyword(s):

Incremental Learning ◽

Population Based ◽

Optimal Designs

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