{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001370931,0.001150598,0.001068633,0.001021299,0.0004506542,0.001085303,0.001040133,0.001680595,0.00143083],"category_scores_gemma":[0.003076066,0.0006425875,0.0009262894,0.001145238,0.0007862434,0.0007023393,0.0007594748,0.001193256,0.0001300969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617671,"about_ca_system_score_gemma":0.001785405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007603667,"about_ca_topic_score_gemma":0.006338847,"domain_scores_codex":[0.9994724,0.0002692136,0.00001961882,0.00007185944,0.00007940253,0.00008746106],"domain_scores_gemma":[0.997857,0.001669022,0.0001752937,0.0000504843,0.0001849641,0.00006312266],"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":[0.0000130943,0.00001529718,0.00009635853,0.00001576171,0.0000139232,0.00001132146,0.000005460816,0.9951131,0.0001199738,0.001366377,0.0001282333,0.003101184],"study_design_scores_gemma":[0.000005125208,0.000008677709,0.00001831973,0.000003213035,0.000002739261,0.000001680679,0.000003862067,0.9990295,0.00005464845,0.0007929059,0.00007822029,0.000001086555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07293053,0.001050212,0.9175696,0.0006542042,0.0001421772,0.0001264296,0.0001662703,0.0002581878,0.007102396],"genre_scores_gemma":[0.728565,0.0005609462,0.2668642,0.0002760863,0.00005482028,0.0002973459,0.0002181025,0.00008269298,0.003080851],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007603667,"threshold_uncertainty_score":0.01511884,"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."}}