{"id":"W3124752832","doi":"10.2139/ssrn.423560","title":"Approximate Local Search in Combinatorial Optimization","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Combinatorial optimization; Local search (optimization); Tabu search; Mathematics; Mathematical optimization; Combinatorics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003051221,0.0007213675,0.002496468,0.001414134,0.0006933295,0.001974595,0.002051987,0.001921534,0.005320092],"category_scores_gemma":[0.01509976,0.0008321445,0.0006304727,0.003388218,0.001891709,0.002956351,0.001640149,0.002208146,0.0006329885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652157,"about_ca_system_score_gemma":0.001109673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005125939,"about_ca_topic_score_gemma":0.005629307,"domain_scores_codex":[0.9984549,0.0009340218,0.00004593836,0.0001179975,0.0003689419,0.00007818067],"domain_scores_gemma":[0.9940411,0.004924775,0.00020698,0.0003733827,0.0003404209,0.0001131796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002160706,0.0001033266,0.0003870067,0.0002954716,0.00007234786,0.00004555305,0.00007506812,0.7929736,0.0004282017,0.1297888,0.005374996,0.07023963],"study_design_scores_gemma":[0.00002419413,0.00002431949,0.00005270452,0.00001292229,0.0000124123,0.00001071483,0.00001054457,0.9471024,0.0001143763,0.05164608,0.000984968,0.000004483795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02074648,0.004661869,0.9613749,0.0008445866,0.0001593071,0.00006742798,0.00009098494,0.0003207031,0.01173371],"genre_scores_gemma":[0.5626696,0.003453627,0.4121464,0.000465945,0.0004337303,0.0006078709,0.0003710288,0.0003364103,0.01951549],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005320092,"threshold_uncertainty_score":0.01779753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007070504163684968,"score_gpt":0.2277320355363686,"score_spread":0.2206615313726837,"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."}}