Northern Goshawk Optimization: A New Swarm-Based Algorithm

Version 1.0.0 (5,54 ko) par Mohammad Dehghani
Northern Goshawk Optimization (NGO)
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Mise à jour 12 fév. 2022

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Optimization algorithms are one of the effective stochastic methods in solving optimization problems. In this paper, a new swarm-based algorithm called Northern Goshawk Optimization (NGO) algorithm is presented that simulates the behavior of northern goshawk during prey hunting. This hunting strategy includes two phases of prey identification and the tail and chase process. The various steps of the proposed NGO algorithm are described and then its mathematical modeling is presented for use in solving optimization problems.
https://ieeexplore.ieee.org/abstract/document/9638618

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Mohammad Dehghani (2024). Northern Goshawk Optimization: A New Swarm-Based Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/106665-northern-goshawk-optimization-a-new-swarm-based-algorithm), MATLAB Central File Exchange. Récupéré le .

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Version Publié le Notes de version
1.0.0