{"id":"W2014986918","doi":"10.1016/j.mcm.2006.01.005","title":"Application of two ant colony optimisation algorithms to water distribution system optimisation","year":2006,"lang":"en","type":"article","venue":"Mathematical and Computer Modelling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":170,"is_retracted":false,"has_abstract":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Ant colony optimization algorithms; Ant colony; Computer science; Formicoidea; Mathematical optimization; Artificial bee colony algorithm; Algorithm; Artificial intelligence; Mathematics; Biology; Ecology; Aculeata","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":[0.001036848,0.0007347917,0.0009189506,0.0007776557,0.0004940044,0.001204282,0.0008381703,0.001109911,0.002419761],"category_scores_gemma":[0.004776981,0.0003868168,0.0004635975,0.0009521768,0.0006437288,0.0007192437,0.001037737,0.0008567477,0.0003143031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000546683,"about_ca_system_score_gemma":0.0008271048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003915601,"about_ca_topic_score_gemma":0.003531134,"domain_scores_codex":[0.999346,0.0002805379,0.00002732966,0.00005240226,0.0002489131,0.00004490319],"domain_scores_gemma":[0.9986749,0.0007501963,0.00007889001,0.000108758,0.0003309164,0.00005634956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000232489,0.0001318915,0.0005807722,0.0001046828,0.00006194165,0.00008117723,0.0001271135,0.8499436,0.003571896,0.01463896,0.001244769,0.1292806],"study_design_scores_gemma":[0.0000262036,0.00002336739,0.00009381276,0.000002591133,0.000005718813,0.00001602381,0.000006821143,0.9965056,0.000481596,0.002163933,0.000670168,0.000004155398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0707376,0.0005483994,0.9081846,0.0005704775,0.0002926594,0.0001291439,0.00003632171,0.0004540212,0.01904686],"genre_scores_gemma":[0.6027494,0.000326556,0.3868745,0.0001217762,0.00008360432,0.0001347274,0.00005203403,0.0001703213,0.009487067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003915601,"threshold_uncertainty_score":0.008094907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008905156247217775,"score_gpt":0.1857924860927853,"score_spread":0.1768873298455675,"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."}}