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
Scour depth estimation using standalone metaheuristic algorithms and their combinations with CatBoost. [PDF]
Eini N +4 more
europepmc +1 more source
Extreme Gradient Boosting Tuned with Metaheuristic Algorithms for Predicting Myeloid NGS Onco-Somatic Variant Pathogenicity. [PDF]
Pellegrino E +7 more
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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.
europepmc +1 more source
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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Plant Leaf Disease Detection Using Metaheuristic Optimization Algorithms and Deep Learning
Priyanga Subbiah, Krishnaraj Nagappan
openalex +2 more sources
Integrated neural network and metaheuristic algorithms for balancing electrical performance and thermal safety in PEMFC design. [PDF]
Ali NB +7 more
europepmc +1 more source
Research on Joint Resource Allocation for Multibeam Satellite Based on Metaheuristic Algorithms. [PDF]
Gao W, Wang L, Qu L.
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Comparison of metaheuristic algorithms set-point tracking-based weight optimization for model predictive control. [PDF]
Nassereddine K, Turzynski M.
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