{"id":"W4412405415","doi":"10.1109/otcon65728.2025.11071003","title":"A Fuzzy-Based Harmony Search Method for Optimizing the Traveling Salesman Problem","year":2025,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"","keywords":"Harmony search; Travelling salesman problem; Harmony (color); Computer science; Mathematical optimization; Fuzzy logic; 2-opt; Artificial intelligence; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.003484408,0.0001619096,0.0002116029,0.0002468467,0.0004798819,0.0005744884,0.001699721,0.00006721917,0.00003627145],"category_scores_gemma":[0.0002914102,0.0001111713,0.0001222422,0.001265306,0.00006222157,0.0001772572,0.0003232895,0.0002607072,0.0000200885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006534151,"about_ca_system_score_gemma":0.0005788993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004340715,"about_ca_topic_score_gemma":0.000005614069,"domain_scores_codex":[0.997672,0.0003829051,0.0003685732,0.0005600404,0.0004947623,0.0005216926],"domain_scores_gemma":[0.9968938,0.001689563,0.00005119974,0.0007847315,0.0004764399,0.000104275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003229524,0.0001241387,0.00002536472,0.0001765962,0.00009271822,0.000005199861,0.0005306649,0.2628829,0.0009990799,0.5214806,0.00783436,0.2058162],"study_design_scores_gemma":[0.0006331241,0.00003923062,0.00002245524,0.00002558486,0.00001028425,0.000001860193,0.00005805954,0.9833729,0.006268618,0.005917548,0.003526641,0.0001236692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000008301162,0.0000631699,0.9627181,0.01878649,0.0001435527,0.001116919,0.000003248237,0.0001929748,0.0169672],"genre_scores_gemma":[0.001786982,0.000008164258,0.9907165,0.001696015,0.00003663215,0.0002431233,0.00000482378,0.00001430356,0.005493526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.72049,"threshold_uncertainty_score":0.5539805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04410457393262727,"score_gpt":0.3626913088847308,"score_spread":0.3185867349521035,"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."}}