{"id":"W2800152815","doi":"10.1016/j.ijthermalsci.2018.04.009","title":"A novel single and multi-objective optimization approach based on Bees Algorithm Hybrid with Particle Swarm Optimization (BAHPSO): Application to thermal-economic design of plate fin heat exchangers","year":2018,"lang":"en","type":"article","venue":"International Journal of Thermal Sciences","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fin; Particle swarm optimization; Heat exchanger; Mathematical optimization; Computer science; Pressure drop; Algorithm; Materials science; Mathematics; Engineering; Mechanical engineering; Mechanics; Physics","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":[0.0004115292,0.0001135693,0.0001339804,0.000196708,0.00008990491,0.00006691746,0.0002415869,0.00002577199,0.0000151661],"category_scores_gemma":[0.00001414868,0.00009395612,0.00002899498,0.000157177,0.0001198555,0.0003325136,0.00001541598,0.00006418294,8.505394e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000130541,"about_ca_system_score_gemma":0.00005770099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000276923,"about_ca_topic_score_gemma":0.000002803698,"domain_scores_codex":[0.9990727,0.00003991444,0.0002852588,0.0001535635,0.0003160207,0.0001324902],"domain_scores_gemma":[0.9994991,0.00005675279,0.00007720444,0.00005871456,0.0002398287,0.00006840091],"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":[0.0001514028,0.0001078544,0.0000648838,0.000003331644,0.00003462671,7.217067e-7,0.0005448562,0.9770951,0.01653283,0.00001054426,0.000004131286,0.005449713],"study_design_scores_gemma":[0.0007296567,0.0005974789,0.0001905539,0.00003582935,0.0000140107,0.00001935947,0.0001272656,0.9505712,0.04760563,0.000002302676,0.000003238468,0.0001034689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06639986,0.00002468936,0.9328607,0.0001587809,0.0001560082,0.0002101278,0.00002131624,0.00001936877,0.0001491618],"genre_scores_gemma":[0.6578787,0.000006203497,0.341941,0.0000686176,0.00007870642,0.00001082757,0.000003751621,0.00001040448,0.000001808233],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5914788,"threshold_uncertainty_score":0.3831419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226555664110026,"score_gpt":0.2406033724632951,"score_spread":0.2179478060522925,"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."}}