{"id":"W2111515077","doi":"10.1007/s00158-009-0366-4","title":"Pareto frontier for simultaneous structural and manufacturing optimization of a composite part","year":2009,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Mathematical optimization; Sorting; Pareto principle; Multi-objective optimization; Engineering design process; Constraint (computer-aided design); Vector optimization; Convergence (economics); Computer science; Optimization problem; Mathematics; Multi-swarm optimization; Algorithm; Engineering","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":[0.002334674,0.001348155,0.001125726,0.001987995,0.0007602057,0.001698489,0.0009210409,0.001701995,0.002898798],"category_scores_gemma":[0.003644217,0.0006727595,0.0011285,0.001197268,0.0009626752,0.0009135229,0.001411505,0.0009510593,0.0005608869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376611,"about_ca_system_score_gemma":0.001511374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003064602,"about_ca_topic_score_gemma":0.001820871,"domain_scores_codex":[0.9994712,0.0001802434,0.00001235036,0.00003002651,0.0002523681,0.00005381278],"domain_scores_gemma":[0.9992751,0.0004673642,0.00004661539,0.00003620515,0.0001360739,0.00003863748],"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":[0.00003689015,0.00002929355,0.00009414356,0.00003819896,0.00001705255,0.00002829982,0.00002373764,0.9813445,0.0007993394,0.008972913,0.0003982963,0.008217506],"study_design_scores_gemma":[0.000005729507,0.00001947558,0.00007711171,0.000007285832,0.000004747329,0.00000655162,0.000009450848,0.9939269,0.000301519,0.005412489,0.0002250035,0.000003685718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04113218,0.0004291031,0.9437444,0.0002043451,0.00004582791,0.00007213518,0.0001239443,0.0001518262,0.01409627],"genre_scores_gemma":[0.7605663,0.0008104466,0.2261493,0.000142372,0.00005808003,0.0006313158,0.0003792606,0.0001542944,0.01110864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003064602,"threshold_uncertainty_score":0.01234704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009233764074291486,"score_gpt":0.2601359064727461,"score_spread":0.2509021423984547,"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."}}