Greylag Goose Optimization (GGO) algorithm

Version 1.0.0 (1,85 ko) par praveen kumar
sphere function is tested
1.0
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Mise à jour 13 avr. 2024

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The Greylag Goose Optimization (GGO) algorithm is a metaheuristic optimization algorithm inspired by the foraging behavior of the greylag goose. It was proposed by Ramalingam et al. in 2018. The algorithm mimics the movement patterns of the greylag goose during foraging, including exploration, exploitation, and flocking behavior.

Citation pour cette source

praveen kumar (2024). Greylag Goose Optimization (GGO) algorithm (https://www.mathworks.com/matlabcentral/fileexchange/163321-greylag-goose-optimization-ggo-algorithm), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2022b
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GGO

Version Publié le Notes de version
1.0.0