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Semantic Scholar Open Access 2021 48 sitasi

A systematic literature review on general parameter control for evolutionary and swarm-based algorithms

M. Lacerda L. F. A. Pessoa F. B. L. Neto Teresa B Ludermir H. Kuchen
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Abstrak

Abstract This paper presents a systematic literature review on general parameter control for evolutionary and swarm-based algorithms. General methods can be applied to any algorithm, parameter or problem, in contrast to methods that are tailored to specific applications. In this literature review, a total of 4449 studies were retrieved by the search engines and only 50 of them were selected to the extraction phase. Finally, only 15 were fully analyzed and discussed. To the best of our knowledge, this is the first literature review on such a field and one of the very few systematic reviews on parameter adjustment for those algorithms.

Topik & Kata Kunci

Computer Science

Penulis (5)

M

M. Lacerda

L

L. F. A. Pessoa

F

F. B. L. Neto

T

Teresa B Ludermir

H

H. Kuchen

Format Sitasi

APA MLA BibTeX
Lacerda, M., Pessoa, L.F.A., Neto, F.B.L., Ludermir, T.B., Kuchen, H. (2021). A systematic literature review on general parameter control for evolutionary and swarm-based algorithms. https://doi.org/10.1016/J.SWEVO.2020.100777

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Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
48×
Sumber Database
Semantic Scholar
DOI
10.1016/J.SWEVO.2020.100777
Akses
Open Access ✓