GGWO: Gaze cues learning-based grey wolf optimizer and its applications for solving engineering problems
In this article, an improved variant of the grey wolf optimizer (GWO) named gaze cues learning-based grey wolf optimizer (GGWO) is proposed. The main intentions are to reduce the existing high selective pressure and low diversification of the GWO algorithm, which results in premature convergence, lo...
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Published in | Journal of computational science Vol. 61; p. 101636 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.05.2022
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Subjects | |
Online Access | Get full text |
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