Red kite Optimization Algorithm (ROA): A New Meta-heuristic

Red kite Optimization Algorithm (ROA)
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Aktualisiert 6 Okt 2022

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A new meta-heuristic algorithm called Red kite Optimization Algorithm (ROA) is introduced for solving global optimization problems. The proposed algorithm has been inspired by the social life of Red kites in nature. The ROA has several advantages, such as simplicity in structure and implementation and having a few parameters and a good convergence rate. The performance of ROA is evaluated by CEC2018 benchmark functions.

Zitieren als

Zahra Beheshti (2024). Red kite Optimization Algorithm (ROA): A New Meta-heuristic (https://www.mathworks.com/matlabcentral/fileexchange/116125-red-kite-optimization-algorithm-roa-a-new-meta-heuristic), MATLAB Central File Exchange. Abgerufen .

Jalal Raeisi Gahruei, Zahra Beheshti, The Electricity Consumption Prediction using Hybrid Red kite Optimization Algorithm with Multi-Layer Perceptron Neural Network, Journal of Intelligent Procedures in Electrical Technology, (2022), Vol. 15 (60), pp. 1-22.

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ROA_CEC2018_MATLAB_Code

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