A Short Survey on Population-Based Incremental Learning Algorithm

Population-Based Incremental Learning (PBIL) algorithm is an evolutionary algorithm technique that belongs to the class of Estimation of Distribution Algorithms (EDAs) which has been proposed as an extension of Genetic Algorithms (GAs). It combines aspects of simple Genetic Algorithms (GAs) and comp...

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Bibliographic Details
Published in:2019 IEEE Symposium Series on Computational Intelligence (SSCI) pp. 339 - 344
Main Author: Folly, Komla A
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2019
Subjects:
3G mobile communication
competitive learning
Computational intelligence
genetic algorithm
population-based incremental learning
probability vector
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Summary:Population-Based Incremental Learning (PBIL) algorithm is an evolutionary algorithm technique that belongs to the class of Estimation of Distribution Algorithms (EDAs) which has been proposed as an extension of Genetic Algorithms (GAs). It combines aspects of simple Genetic Algorithms (GAs) and competitive learning. PBIL has been used recently to solve many optimization problems in engineering and other field with promising results. However, this algorithm is not well-known by the larger community of researchers. This paper presents a short survey on the standard PBIL algorithm and the many variants that have been proposed.
DOI:10.1109/SSCI44817.2019.9002858