Greylag Goose Optimization (GGO) algorithm

バージョン 1.0.0 (1.85 KB) 作成者: praveen kumar
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更新 2024/4/13

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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.

引用

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

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GGO

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