{"id":"W2053613855","doi":"10.1007/s00170-012-4685-z","title":"Metaheuristics for fuzzy dynamic facility layout problem with unequal area constraints and closeness ratings","year":2013,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Closeness; Metaheuristic; Fuzzy logic; Industrial and production engineering; Mathematical optimization; Computer science; Engineering; Industrial engineering; Mathematics; Artificial intelligence; Mechanical 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":[0.001729057,0.001341637,0.001906978,0.002242328,0.0006967321,0.001292965,0.002347113,0.002314009,0.002928423],"category_scores_gemma":[0.002878989,0.0009300467,0.001645643,0.002143126,0.0006456305,0.00114271,0.0009936326,0.00156366,0.0002402401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001862103,"about_ca_system_score_gemma":0.001340572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007877996,"about_ca_topic_score_gemma":0.00725315,"domain_scores_codex":[0.9993237,0.0003067522,0.00003283361,0.00009188657,0.0001462596,0.00009845231],"domain_scores_gemma":[0.998638,0.0009446779,0.000136217,0.00006110724,0.0001486536,0.00007136398],"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":[0.00005183066,0.00005165789,0.0001312076,0.00004609237,0.0000539081,0.00002406987,0.00001690672,0.9772537,0.0003509226,0.004910379,0.0005018005,0.01660749],"study_design_scores_gemma":[0.00001965607,0.00002939353,0.00004380271,0.000007463803,0.00001172142,0.000009465521,0.000007193459,0.9976389,0.0001009274,0.001912926,0.000214532,0.000004011904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05344661,0.001341763,0.9368577,0.0003744876,0.0001616181,0.0001491751,0.0001801321,0.0002615639,0.007226916],"genre_scores_gemma":[0.5444245,0.0006373193,0.449652,0.0002531348,0.0001362164,0.0003497768,0.0002502707,0.0001093193,0.004187427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007877996,"threshold_uncertainty_score":0.01566428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006808492612057514,"score_gpt":0.2184538734352014,"score_spread":0.2116453808231439,"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."}}