{"id":"W4382541482","doi":"10.18280/mmep.100321","title":"Harmony Search Algorithm for Solving Combinatorial Optimization Problems: Bibliometric Analysis","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Enterprise Management and Information Systems","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harmony search; Computer science; Combinatorial optimization; Mathematical optimization; Algorithm; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009362247,0.001020537,0.002185691,0.06914272,0.001335781,0.006539608,0.001334752,0.001087065,0.004432517],"category_scores_gemma":[0.04385793,0.0003454126,0.001276134,0.09370086,0.0008271474,0.004344186,0.001909312,0.0006812848,0.001040986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002182243,"about_ca_system_score_gemma":0.004103026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004620455,"about_ca_topic_score_gemma":0.004052184,"domain_scores_codex":[0.9872674,0.003757772,0.001042036,0.0007871196,0.006824557,0.0003211198],"domain_scores_gemma":[0.983892,0.01099329,0.001646005,0.0008344278,0.002429968,0.0002043239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002055147,0.000391305,0.06191647,0.004988582,0.001698185,0.0003094253,0.0008018811,0.07904519,0.001074029,0.04475922,0.02655331,0.7782569],"study_design_scores_gemma":[0.0002284858,0.0004415213,0.09622785,0.001851125,0.00130389,0.001369826,0.00298762,0.6661755,0.005123415,0.1077733,0.1162353,0.0002820391],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3390141,0.06861398,0.3949875,0.006709665,0.0006636133,0.00223691,0.02113442,0.003667149,0.1629726],"genre_scores_gemma":[0.7460942,0.02487069,0.2097384,0.0002302875,0.0006331073,0.001896615,0.01069316,0.000303231,0.005540452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9308573,"threshold_uncertainty_score":0.04951292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819985231135,"score_gpt":0.2328761590509927,"score_spread":0.1946763067396427,"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."}}