THE ALGORITHM OF SUBSIDIARY METAHEURISTICS
V.Ya. Tsvetkov, A.V. Kozlov
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Metaheuristic algorithms applied to NP-hard problems are proven effective techniques in the field of optimization to ensure a good result within an acceptable calculation time. However, finding a suitable technique for optimizing a complex problem is not
Tamara J. Bíró, Adrián Horváth
doaj
Performance evaluation of advanced metaheuristic algorithms for directional overcurrent relay coordination in distribution networks. [PDF]
Arslanoğlu İ, Altaş İH, Kılıç H.
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Modeling air pollution by integrating ANFIS and metaheuristic algorithms. [PDF]
Yonar A, Yonar H.
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Scour depth estimation using standalone metaheuristic algorithms and their combinations with CatBoost. [PDF]
Eini N +4 more
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An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges. [PDF]
Rajwar K, Deep K, Das S.
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Application of the metaheuristic algorithms to quantify the GSI based on the RMR classification. [PDF]
Davoodi PK, Hajizadeh F, Rezaei M.
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Extreme Gradient Boosting Tuned with Metaheuristic Algorithms for Predicting Myeloid NGS Onco-Somatic Variant Pathogenicity. [PDF]
Pellegrino E +7 more
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Hybridized artificial neural network with metaheuristic algorithms for bearing capacity prediction
Mohammed Abdullahi Mu'azu
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Integrated neural network and metaheuristic algorithms for balancing electrical performance and thermal safety in PEMFC design. [PDF]
Ali NB +7 more
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