{"id":"W1982175391","doi":"10.1016/j.jtice.2009.04.013","title":"The solutions of time-delayed optimal control problems by the use of modified line-up competition algorithm","year":2009,"lang":"en","type":"article","venue":"Journal of the Taiwan Institute of Chemical Engineers","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Discretization; Convergence (economics); Computer science; Mathematical optimization; Interpolation (computer graphics); Optimal control; Parametrization (atmospheric modeling); Control (management); Line (geometry); Nonlinear system; Algorithm; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0009639375,0.0005575406,0.0009234107,0.0005026801,0.000554104,0.0007540678,0.001090153,0.0009166485,0.002241264],"category_scores_gemma":[0.001907657,0.000307045,0.0005035762,0.0005864313,0.0005729866,0.0007822046,0.0008520278,0.0007620713,0.0001889251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004453555,"about_ca_system_score_gemma":0.001281507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003478125,"about_ca_topic_score_gemma":0.002410551,"domain_scores_codex":[0.999725,0.0001089669,0.00001315276,0.00003327816,0.00008358305,0.00003608664],"domain_scores_gemma":[0.999403,0.0003138839,0.00005259987,0.00002487139,0.0001615264,0.00004401637],"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":[0.0001811711,0.000114253,0.0003498,0.0001437007,0.0000652951,0.00008384272,0.00008102843,0.8911643,0.004233199,0.04710383,0.001960658,0.0545189],"study_design_scores_gemma":[0.00002104963,0.00004285761,0.0000563076,0.00000260921,0.000003946569,0.000009878565,0.000003316607,0.9976809,0.0002249211,0.001639697,0.0003092288,0.000005188994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04370707,0.0004074062,0.9483106,0.000203309,0.0001580557,0.00007442777,0.00002526303,0.00009599647,0.007017863],"genre_scores_gemma":[0.7671854,0.0003713921,0.2260467,0.0001124962,0.00007175389,0.0002671175,0.00007475013,0.00005339838,0.005816887],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003478125,"threshold_uncertainty_score":0.007497728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053414235194574,"score_gpt":0.1957567424953277,"score_spread":0.1852226001433819,"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."}}