{"id":"W2134788587","doi":"10.1109/sis.2007.368044","title":"Applying Opposition-Based Ideas to the Ant Colony System","year":2007,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Travelling salesman problem; Ant colony optimization algorithms; Synchronizing; Opposition (politics); Computer science; ANT; Ant colony; Mathematical optimization; Artificial intelligence; Algorithm; Mathematics; Computer network","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":[0.001073246,0.0004430345,0.0006842737,0.0006931694,0.0004893834,0.001470977,0.001017854,0.0007990211,0.001570853],"category_scores_gemma":[0.00254864,0.0002653661,0.0006737421,0.0005941523,0.001486898,0.001348506,0.001506116,0.001326668,0.0004362566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004907582,"about_ca_system_score_gemma":0.0004824538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005707981,"about_ca_topic_score_gemma":0.0004864378,"domain_scores_codex":[0.999109,0.000388889,0.00003982447,0.00006771251,0.0003503199,0.00004429241],"domain_scores_gemma":[0.9992464,0.0004267013,0.00006465736,0.00008520238,0.0001429211,0.00003415734],"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":[0.0001145531,0.00006529785,0.0005851975,0.0003229002,0.0001155243,0.0003550659,0.0005384251,0.3149227,0.009574953,0.5205598,0.001813812,0.1510317],"study_design_scores_gemma":[0.00005941869,0.0001583205,0.0002166627,0.00006923032,0.00004604132,0.0003994758,0.0000888896,0.7319046,0.003554787,0.2162307,0.04722418,0.00004757164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008400971,0.0007362071,0.9711547,0.0003610906,0.0001684675,0.00006055206,0.00001134024,0.0001133179,0.01899334],"genre_scores_gemma":[0.3960944,0.001982113,0.5912178,0.0003446956,0.0002416011,0.000305892,0.00005323443,0.0001116037,0.009648737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001570853,"threshold_uncertainty_score":0.005675912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070064834814609,"score_gpt":0.293804749325385,"score_spread":0.2731041009772389,"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."}}