{"id":"W4405907834","doi":"10.1109/wcnps65035.2024.10814194","title":"Metaheuristic Approach Hybridizing Variable Neighborhood Search and Genetic Algorithm to Size Hybrid Backup Systems for Power Outages","year":2024,"lang":"en","type":"article","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Backup; Metaheuristic; Genetic algorithm; Variable neighborhood search; Computer science; Variable (mathematics); Power (physics); Algorithm; Mathematical optimization; Mathematics; Machine learning; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0005604193,0.0002785391,0.0004091183,0.0001080168,0.00007590427,0.0003757573,0.0001995592,0.000065917,0.00003020355],"category_scores_gemma":[0.00012741,0.0002403049,0.00008191574,0.0002438691,0.00002911795,0.0001489037,0.00007930688,0.0001717386,0.00005976221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042552,"about_ca_system_score_gemma":0.00004660672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007589998,"about_ca_topic_score_gemma":7.162989e-7,"domain_scores_codex":[0.9982158,0.00004656664,0.0003898953,0.000539076,0.0002202332,0.0005884053],"domain_scores_gemma":[0.9988652,0.0004350731,0.00001017104,0.0003706953,0.00008407768,0.000234812],"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":[0.0001119129,0.0004521001,0.0002161829,0.04977139,0.003716205,0.0005489651,0.004517036,0.6240072,0.01876792,0.09371575,0.1323256,0.07184978],"study_design_scores_gemma":[0.0002470155,0.0001001698,0.00007213347,0.0002360563,0.00007087315,0.0002327178,0.0002737458,0.9459307,0.0004339943,0.000321578,0.0516554,0.0004256065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002992163,0.009546747,0.975973,0.00006849527,0.001679022,0.001201221,0.0001682625,0.0006468934,0.007724167],"genre_scores_gemma":[0.8681768,0.0001369069,0.1280655,0.00005350837,0.0001981432,0.000346024,0.000008691632,0.0001026466,0.002911879],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8651846,"threshold_uncertainty_score":0.9799348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008945939568697776,"score_gpt":0.2158076937003205,"score_spread":0.2068617541316227,"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."}}