{"id":"W1970836502","doi":"10.1061/(asce)wr.1943-5452.0000525","title":"Coupled Self-Adaptive Multiobjective Differential Evolution and Network Flow Algorithm Approach for Optimal Reservoir Operation","year":2015,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Differential evolution; Mathematical optimization; Minification; Maximization; Evolutionary algorithm; Sorting; Multi-objective optimization; Computer science; Inflow; Genetic algorithm; Differential (mechanical device); Mathematics; Algorithm; Engineering","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":[0.001080042,0.0006942178,0.0007370927,0.0007159256,0.0003500172,0.0006531793,0.001004723,0.000914,0.001141467],"category_scores_gemma":[0.001507765,0.0004045285,0.0006287472,0.0005184638,0.0005341168,0.0005421289,0.0008897972,0.0006247602,0.0001350074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007681835,"about_ca_system_score_gemma":0.001055901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004623482,"about_ca_topic_score_gemma":0.003487073,"domain_scores_codex":[0.9996811,0.0001186403,0.00001508029,0.00004417048,0.0001082157,0.00003270039],"domain_scores_gemma":[0.9994919,0.0003122282,0.00004712138,0.00002113152,0.0001063511,0.00002128156],"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":[0.00001170192,0.00001636593,0.0002028966,0.00001801358,0.0000178256,0.00001692849,0.00002398308,0.9855453,0.000565808,0.002131489,0.00008208398,0.01136752],"study_design_scores_gemma":[0.000002441028,0.000008109375,0.00002051023,0.000001254372,0.000001668767,0.000002288094,0.00000152855,0.9994962,0.00008756053,0.0002740671,0.000103298,0.000001099815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02032692,0.0001381197,0.9768439,0.00007549543,0.00001689544,0.00005895817,0.00001174407,0.000114774,0.002413243],"genre_scores_gemma":[0.5859292,0.0002031578,0.4097129,0.000122212,0.00002365846,0.0004125474,0.00007659365,0.00007718805,0.003442558],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004623482,"threshold_uncertainty_score":0.009193122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379838106674157,"score_gpt":0.2061951788994356,"score_spread":0.1923967978326941,"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."}}