{"id":"W2998874261","doi":"10.1007/978-3-030-26458-1_11","title":"Biogeography Based Optimization for Water Pump Switching Problem","year":2020,"lang":"en","type":"book-chapter","venue":"Modeling and optimization in science and technologies","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Mathematical optimization; Optimization problem; Particle swarm optimization; Harmony search; Computer science; Genetic algorithm; Minification; Mathematics","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":[0.0004549456,0.0006482024,0.0008397743,0.0003854102,0.000306884,0.000966033,0.0008268192,0.001275812,0.004973826],"category_scores_gemma":[0.001015077,0.0004069131,0.0007527414,0.0005017801,0.0007203154,0.0009641213,0.0009529391,0.001236088,0.0003338541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009850515,"about_ca_system_score_gemma":0.0005913495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003722706,"about_ca_topic_score_gemma":0.002488141,"domain_scores_codex":[0.9998368,0.0000694225,0.000004812947,0.00003297721,0.00003342074,0.0000226484],"domain_scores_gemma":[0.9997686,0.0001591805,0.00002120363,0.000009349822,0.00002394634,0.00001777058],"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":[0.00003304514,0.00002859094,0.0002402851,0.0001152301,0.00004089846,0.00004504541,0.00002570431,0.9188843,0.001326605,0.05933108,0.003491248,0.01643793],"study_design_scores_gemma":[0.000004210038,0.00001132591,0.0001015826,0.000007061678,0.000004358626,0.00001036931,0.000005014624,0.9810209,0.0001172915,0.01767773,0.001036246,0.000003852891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02511079,0.00333902,0.9244832,0.001451346,0.0003287789,0.00006168624,0.0001766467,0.0001284976,0.04491999],"genre_scores_gemma":[0.7934242,0.004205969,0.1405894,0.0006952176,0.0004111854,0.0003347437,0.000424262,0.0003460075,0.05956902],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004973826,"threshold_uncertainty_score":0.01663911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578339465840467,"score_gpt":0.1963313816147443,"score_spread":0.1805479869563396,"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."}}