{"id":"W3203480234","doi":"10.1155/2021/8548639","title":"Social Network Search for Solving Engineering Optimization Problems","year":2021,"lang":"en","type":"article","venue":"Computational Intelligence and Neuroscience","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":220,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Popularity; Benchmark (surveying); Metaheuristic; Conversation; Field (mathematics); Imitation; Social network (sociolinguistics); Optimization algorithm; Optimization problem; Mathematical optimization; Artificial intelligence; Machine learning; Social media; Algorithm; Mathematics; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001835728,0.001708325,0.001265039,0.001427601,0.0006594021,0.0008807968,0.0009595261,0.00168805,0.002447848],"category_scores_gemma":[0.003854312,0.0005745452,0.001012059,0.001464017,0.0009017487,0.001001734,0.001069154,0.00123822,0.0003474963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084552,"about_ca_system_score_gemma":0.001224759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004986837,"about_ca_topic_score_gemma":0.004209481,"domain_scores_codex":[0.9992874,0.0003969622,0.00003238072,0.00009961853,0.0001438086,0.00003988948],"domain_scores_gemma":[0.9986552,0.001039392,0.00009687053,0.00004382667,0.000133828,0.00003089204],"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":[0.00002271157,0.00003004436,0.0003127185,0.0001064362,0.00005552972,0.00002718496,0.00001955561,0.9704509,0.000253919,0.01221118,0.0005856297,0.01592408],"study_design_scores_gemma":[0.000006917113,0.00001148053,0.0000304091,0.000007697854,0.000004540851,0.000004616649,0.000005594415,0.9950292,0.00006692493,0.004440608,0.000389648,0.000002495148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008137825,0.00101051,0.9853007,0.0003287165,0.00009109134,0.00008826114,0.00005178116,0.0001050002,0.004886062],"genre_scores_gemma":[0.3906677,0.001387822,0.6012383,0.0003464207,0.0002017935,0.001117556,0.0003156963,0.000140003,0.004584805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004986837,"threshold_uncertainty_score":0.00991559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05464896600811137,"score_gpt":0.3121515330919351,"score_spread":0.2575025670838237,"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."}}