{"id":"W4411948891","doi":"10.1109/iwcmc65282.2025.11059455","title":"Metaheuristic Optimization of Controller Placement in Software Defined Networks","year":2025,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Metaheuristic; Computer science; Search-based software engineering; Controller (irrigation); Software; Software system; Artificial intelligence; Programming language; Software construction","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":[0.0002944704,0.0001241629,0.0002769544,0.0001805644,0.0000401363,0.00004683598,0.0004068217,0.0000752593,0.00005030186],"category_scores_gemma":[0.0001592201,0.0001062305,0.00006094236,0.0008452427,0.00002262838,0.0001278428,0.0001743503,0.00009413471,0.000002945157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003768393,"about_ca_system_score_gemma":0.00005739344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004456113,"about_ca_topic_score_gemma":0.00002289875,"domain_scores_codex":[0.9988896,0.00006352194,0.0003881633,0.0002806399,0.0001455364,0.0002325596],"domain_scores_gemma":[0.9990188,0.0004515691,0.00008808591,0.0003186837,0.00008742119,0.0000354365],"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":[0.00002510296,0.00005881638,0.003892422,0.000009440399,0.00002361487,0.000001825994,0.00002113734,0.953366,0.000001154016,0.03328231,0.003011667,0.006306557],"study_design_scores_gemma":[0.001238654,0.0000402396,0.002080756,0.00004687273,0.00001255571,5.66838e-7,0.000005856272,0.9944775,0.00002026589,0.001622789,0.00035069,0.0001032199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000209681,0.0006749937,0.9962543,0.0002887173,0.0002939528,0.0002332242,6.241176e-7,0.0001362726,0.001908283],"genre_scores_gemma":[0.6515315,0.0001001514,0.3460559,0.001068048,0.0000261952,0.00005388522,0.000007617968,0.000009037793,0.001147658],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6513218,"threshold_uncertainty_score":0.4331953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00777614286935241,"score_gpt":0.2255089711528156,"score_spread":0.2177328282834632,"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."}}