Mountain Gazelle Optimizer

버전 1.0.1 (5.33 KB) 작성자: benyamin abdollahzadeh
Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems

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업데이트 날짜: 2022/10/6

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The Mountain Gazelle Optimizer(MGO), a novel meta-heuristic algorithm inspired by the social life and hierarchy of wild mountain gazelles, is suggested in this paper. In this algorithm, gazelles' hierarchical and social life is formulated mathematically and used to develop an optimization algorithm. The MGO algorithm is evaluated and tested using Fifty-two standard benchmark functions and seven different engineering problems. It is compared with nine other powerful meta-heuristic algorithms to validate the result. The significant differences between the comparative algorithms are demonstrated using Wilcoxon's rank-sum and Friedman's tests. Numerous experiments have shown that the MGO performs better than the comparable algorithms on utmost benchmark functions. In addition, according to the tests performed, the MGO maintains its search capabilities and shows good performance even when increasing the dimensions of optimization problems.
Main paper:
Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems Benyamin Abdollahzadeh,Farhad Soleimanian Gharehchopogh,Nima khodadadi, Seyedali Mirjalili, Advances in Engineering Software,2022
Email: benyamin.abdolahzade@gmail.com
Homepage:https://www.researchgate.net/profile/Benyamin-Abdollahzadeh

인용 양식

benyamin abdollahzadeh (2023). Mountain Gazelle Optimizer (https://www.mathworks.com/matlabcentral/fileexchange/118680-mountain-gazelle-optimizer), MATLAB Central File Exchange. 검색됨 .

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