Analysis of dependence of grey wolf optimizer to shift-transformations and its shift-invariant improved methods adaptively controlling the search areas

As a metaheuristic method for the continuous optimization problem, the grey wolf optimizer (GWO) has attracted much attention from researchers because the method is reported to be superior to other methods. However, some works show that the GWO is too specialized only to problems having the zero-opt...

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Bibliographic Details
Main Authors: Keiji Tatsumi, Nao Kinoshita
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:SICE Journal of Control, Measurement, and System Integration
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Online Access:http://dx.doi.org/10.1080/18824889.2024.2312592
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