{"id":"W4389444046","doi":"10.1007/978-981-19-8851-6_40-1","title":"Overcoming Constraints: The Critical Role of Penalty Functions as Constraint-Handling Methods in Structural Optimization","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Mathematical optimization; Constraint (computer-aided design); Robustness (evolution); Penalty method; Computer science; Optimization problem; Constrained optimization problem; Variety (cybernetics); Constrained optimization; Engineering; Mathematics; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006751139,0.000381123,0.0005104306,0.0004012873,0.0002211827,0.0001286602,0.0006726115,0.000287863,0.000828485],"category_scores_gemma":[0.001060012,0.0003125533,0.0001790259,0.0002795023,0.0008324964,0.0004958918,0.0004001024,0.0006585554,0.00003259395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001595079,"about_ca_system_score_gemma":0.0003214929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003250978,"about_ca_topic_score_gemma":0.00002167271,"domain_scores_codex":[0.9975975,0.0001580786,0.0007863749,0.000695699,0.0004131027,0.0003492013],"domain_scores_gemma":[0.9963605,0.002088066,0.0003150213,0.0006146529,0.0005139973,0.0001077013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005918936,0.000008220243,0.000004953148,0.00001511069,0.00004393828,0.00000987102,0.0002829645,0.239109,0.0000622504,0.7238057,0.000008619051,0.03664343],"study_design_scores_gemma":[0.0003966787,0.00004737421,0.00001557027,0.0001516488,0.00003186159,0.00008613832,0.0004321156,0.9238175,0.0002028144,0.07409646,0.0003466243,0.0003752552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[8.790021e-7,0.00008386228,0.8133552,0.000241614,0.000546368,0.000375986,0.00003334725,0.0001758352,0.1851869],"genre_scores_gemma":[0.001243327,0.00005547519,0.9722972,0.0001592985,0.00007730877,0.00002240324,0.00003047888,0.00005719502,0.02605733],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6847085,"threshold_uncertainty_score":0.9999326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02830058832869211,"score_gpt":0.3436273525702743,"score_spread":0.3153267642415822,"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."}}