{"id":"W2123876002","doi":"10.5539/cis.v4n2p39","title":"Genetic Algorithms: Concepts, Design for Optimization of Process Controllers","year":2011,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":221,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Genetic algorithm; MATLAB; Process (computing); Control engineering; Heuristic; Meta-optimization; Fuzzy logic; Control theory (sociology); Control (management); Artificial intelligence; Machine learning; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00130828,0.00130613,0.001159519,0.001171534,0.0004241503,0.001744853,0.001376379,0.001262856,0.002053806],"category_scores_gemma":[0.00222694,0.000574402,0.0008471588,0.00165248,0.001449235,0.001053314,0.0009597433,0.001503944,0.0008154526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007694176,"about_ca_system_score_gemma":0.001315653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002036826,"about_ca_topic_score_gemma":0.001118005,"domain_scores_codex":[0.9991936,0.000251817,0.00005357148,0.0001146244,0.0003483162,0.00003809282],"domain_scores_gemma":[0.9995109,0.000281196,0.00005628551,0.00004012912,0.00009695761,0.00001456419],"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":[0.00004196492,0.00005719548,0.0004997381,0.0006045718,0.0001563386,0.0001213618,0.0001565229,0.6472698,0.004598808,0.1591641,0.003898646,0.1834309],"study_design_scores_gemma":[0.00005499739,0.0001032754,0.0003233798,0.0002104899,0.00005428211,0.0001614999,0.00005470321,0.8259302,0.002963199,0.1229673,0.04713336,0.00004319019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001008066,0.002394885,0.9931978,0.0001302641,0.00006769506,0.00006374877,0.00004413277,0.0002426319,0.002850826],"genre_scores_gemma":[0.09125654,0.00832217,0.8928885,0.0002052033,0.0002266788,0.0008799708,0.0002853939,0.0002871324,0.005648454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002053806,"threshold_uncertainty_score":0.006918907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154108325851707,"score_gpt":0.2380379623967128,"score_spread":0.2164968791381958,"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."}}