{"id":"W61930541","doi":"","title":"A preliminary study for multiple ant colony system with new communication strategies","year":2005,"lang":"en","type":"article","venue":"International Conference on Communications","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ant colony optimization algorithms; Travelling salesman problem; Weighting; Ant colony; Computer science; Scheme (mathematics); ANT; Artificial intelligence; Mathematical optimization; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000523553,0.0001800453,0.0001925238,0.000248893,0.0004287805,0.000703998,0.005188283,0.00005255195,0.0000442648],"category_scores_gemma":[0.0001805956,0.0001623606,0.0000484687,0.0003012548,0.0001192753,0.0008098655,0.0007495595,0.0002697774,0.00007170618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000222945,"about_ca_system_score_gemma":0.0006051276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002453523,"about_ca_topic_score_gemma":0.0006986556,"domain_scores_codex":[0.9981708,0.000256741,0.0004290607,0.0003643853,0.0005640158,0.000214986],"domain_scores_gemma":[0.9950973,0.0008625087,0.0002379253,0.002694533,0.0009759542,0.0001317237],"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":[0.0001488804,0.001068946,0.0004107314,0.00001025077,0.0001344557,0.000002261406,0.002242938,0.006822419,0.00004491554,0.9664266,0.001208613,0.021479],"study_design_scores_gemma":[0.001489027,0.0006116062,0.001729355,0.00008506407,0.0000132775,0.00002282592,0.002496134,0.9852883,0.00004368474,0.0007556828,0.007267072,0.0001980136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00122912,0.00009345099,0.9526086,0.01609308,0.0001036119,0.001489724,0.00003373403,0.0002784129,0.0280702],"genre_scores_gemma":[0.7143856,0.00004998573,0.2839417,0.00008208759,0.00003986915,0.0004496317,0.00006925104,0.0000127644,0.000969083],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9784659,"threshold_uncertainty_score":0.9641207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261040882049941,"score_gpt":0.381627919368405,"score_spread":0.2555238311634108,"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."}}