Greylag Goose Optimization (GGO) algorithm

版本 1.0.0 (1.9 KB) 作者: praveen kumar
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更新时间 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.

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

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GGO

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1.0.0