Chaotic-Based Mountain Gazelle Optimizer for Solving Optimization Problems

Abstract The Mountain Gazelle Optimizer (MGO) algorithm has become one of the most prominent swarm-inspired meta-heuristic algorithms because of its outstanding rapid convergence and excellent accuracy. However, the MGO still faces premature convergence, making it challenging to leave the local opti...

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Bibliographic Details
Published in:International Journal of Computational Intelligence Systems
Main Authors: Priteesha Sarangi, Prabhujit Mohapatra
Format: Article
Language:English
Published: Springer 2024-05-01
Subjects:
Meta-heuristics
Optimization
Chaotic maps
Engineering problems
Online Access:https://doi.org/10.1007/s44196-024-00444-5

Internet

https://doi.org/10.1007/s44196-024-00444-5

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