{"id":"W2032825015","doi":"10.5539/cis.v8n2p73","title":"Memetic Elitist Pareto Evolutionary Algorithm for Virtual Network Embedding","year":2015,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Memetic algorithm; Embedding; Evolutionary algorithm; Virtual network; Pareto principle; Evolutionary computation; Convergence (economics); Network virtualization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001119432,0.0009519074,0.0009127745,0.001040255,0.000757755,0.0007972737,0.001526395,0.001302212,0.002039412],"category_scores_gemma":[0.001954449,0.0003469733,0.0007110803,0.0007336417,0.0007509817,0.0009280581,0.001104742,0.0009102625,0.0002979903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009339707,"about_ca_system_score_gemma":0.001145314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001915534,"about_ca_topic_score_gemma":0.001617832,"domain_scores_codex":[0.9995667,0.0001365355,0.00001780037,0.00005930215,0.0001547474,0.00006485968],"domain_scores_gemma":[0.9995564,0.0002271945,0.00004663767,0.00003971836,0.00009905657,0.0000311479],"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":[0.00003762024,0.00005585617,0.0004231575,0.00004495954,0.00004368779,0.00008126707,0.00005272247,0.9327916,0.001917183,0.01313695,0.0009080902,0.05050686],"study_design_scores_gemma":[0.00001310964,0.00002336684,0.0000533219,0.000005017139,0.000005810046,0.00002384191,0.000009242271,0.9955671,0.0005310577,0.003039767,0.0007241681,0.000004066438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02361375,0.0003745107,0.9700197,0.000212988,0.00006480125,0.00007980654,0.00002673281,0.0001875541,0.005420144],"genre_scores_gemma":[0.5877496,0.0006046396,0.3975177,0.000359574,0.00005550644,0.0005350159,0.0001224125,0.00006993984,0.01298565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002039412,"threshold_uncertainty_score":0.006822467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909180827633053,"score_gpt":0.2588879385513823,"score_spread":0.2397961302750518,"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."}}