{"id":"W2238355453","doi":"10.2166/hydro.2015.174","title":"A hybrid cuckoo–harmony search algorithm for optimal design of water distribution systems","year":2015,"lang":"en","type":"article","venue":"Journal of Hydroinformatics","topic":"Water Systems and Optimization","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Global Institute for Water Security, University of Saskatchewan","keywords":"Harmony search; Cuckoo search; Heuristics; Computer science; Mathematical optimization; Meta heuristic; Algorithm; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0011193,0.0009499395,0.001061096,0.00113103,0.0004699155,0.0007192728,0.001362796,0.001228485,0.001884118],"category_scores_gemma":[0.001585296,0.0006001213,0.0006133866,0.001214839,0.0006564151,0.0005766755,0.0007727547,0.0005089799,0.0002680639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007483716,"about_ca_system_score_gemma":0.001324315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008024775,"about_ca_topic_score_gemma":0.006308404,"domain_scores_codex":[0.9995106,0.0002050317,0.00001845202,0.00005760747,0.0001670044,0.00004124223],"domain_scores_gemma":[0.9995335,0.0002711541,0.00004861507,0.00002490459,0.0001009605,0.00002092933],"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":[0.00002056087,0.00001231779,0.0001319416,0.00003924612,0.00002544715,0.0000197946,0.00002332598,0.9798958,0.0005323248,0.002829189,0.0004117559,0.01605821],"study_design_scores_gemma":[0.00001024669,0.00002039006,0.0000445957,0.000004513663,0.000003827026,0.00000631669,0.000004436588,0.9984988,0.0001721239,0.0007741209,0.0004572495,0.000003342477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02773685,0.0008659837,0.963285,0.0001664781,0.00005093107,0.0001522343,0.00005633567,0.0003260311,0.007360149],"genre_scores_gemma":[0.6620842,0.0004948316,0.3303507,0.0001907499,0.00005375595,0.0006983971,0.0001550548,0.0001267989,0.005845583],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008024775,"threshold_uncertainty_score":0.01595616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02725192749955171,"score_gpt":0.2218282917072901,"score_spread":0.1945763642077384,"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."}}