{"id":"W4396670306","doi":"10.1007/s44196-024-00497-6","title":"Using Improved Hybrid Grey Wolf Algorithm Based on Artificial Bee Colony Algorithm Onlooker and Scout Bee Operators for Solving Optimization Problems","year":2024,"lang":"en","type":"article","venue":"International Journal of Computational Intelligence Systems","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Artificial bee colony algorithm; Convergence (economics); Firefly algorithm; Mathematical optimization; Computer science; Genetic algorithm; Algorithm; Ant colony optimization algorithms; Optimization algorithm; Artificial intelligence; Mathematics; Particle swarm optimization","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001998967,0.0003233709,0.0004243139,0.001211481,0.0002267881,0.002346321,0.00110195,0.0001083028,0.00003556439],"category_scores_gemma":[0.0005188395,0.0002998309,0.000199004,0.0005303785,0.0001309872,0.00124633,0.0001555662,0.0003943089,0.00001174722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004736376,"about_ca_system_score_gemma":0.001068795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004611393,"about_ca_topic_score_gemma":0.000001165648,"domain_scores_codex":[0.9956173,0.0001931605,0.001489133,0.0005878299,0.001746243,0.0003663812],"domain_scores_gemma":[0.9937178,0.001263859,0.0005704725,0.0001547472,0.004048812,0.0002443401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002800273,0.000108754,0.000004896197,0.00005397367,0.0001792425,0.00006980273,0.000163414,0.8966337,0.0001390802,0.004671881,0.0001983027,0.09774891],"study_design_scores_gemma":[0.0003037885,0.0003317142,0.000005338968,0.0005809636,0.00002836854,0.0004233817,0.00006431034,0.9930148,0.0007656112,0.003694705,0.0005029586,0.0002841308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001904082,0.0005930973,0.9930514,0.0008863341,0.004291817,0.0007517424,0.0001220445,0.00007738728,0.00003577994],"genre_scores_gemma":[0.09423051,0.00005444127,0.9040955,0.0002099074,0.001175987,0.00004573955,0.00004451923,0.00005170227,0.00009174746],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09746477,"threshold_uncertainty_score":0.9999454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04812576374522486,"score_gpt":0.342416545532792,"score_spread":0.2942907817875671,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}