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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Vydáno v:	2019 IEEE Symposium Series on Computational Intelligence (SSCI) s. 339 - 344
Hlavní autor:	Folly, Komla A
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.12.2019
Témata:	3G mobile communication competitive learning Computational intelligence genetic algorithm population-based incremental learning probability vector
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Popis
Shrnutí:	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