{"id":"W1978104777","doi":"10.1109/ictai.2010.25","title":"An Effective Multilevel Memetic Algorithm for Balanced Graph Partitioning","year":2010,"lang":"en","type":"preprint","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Angers Loire Métropole","keywords":"Memetic algorithm; Computer science; Operator (biology); Graph; Graph partition; Algorithm; Local search (optimization); Combinatorics; Mathematics; Theoretical computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005321598,0.0005280803,0.0006565987,0.0009277986,0.0005296695,0.0006782894,0.001252585,0.001049523,0.002688226],"category_scores_gemma":[0.001479726,0.0002612073,0.0005139901,0.0006865044,0.0004728957,0.0007223702,0.001082189,0.0005833285,0.0004367959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005688363,"about_ca_system_score_gemma":0.0006258854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000983477,"about_ca_topic_score_gemma":0.001343363,"domain_scores_codex":[0.9997081,0.00008461616,0.00001267913,0.00004884339,0.0001031011,0.00004273335],"domain_scores_gemma":[0.9997066,0.0001357363,0.00003602503,0.00004262705,0.00005844887,0.00002061758],"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":[0.0001401901,0.00009361174,0.0006572882,0.000159238,0.00009589604,0.0001476147,0.0001696186,0.7119963,0.02014722,0.03380457,0.004004459,0.2285839],"study_design_scores_gemma":[0.00002720275,0.00004265983,0.0001032929,0.000007892291,0.00001212823,0.00005004525,0.00001638985,0.9896742,0.002018814,0.005967986,0.002073445,0.000006059441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01901976,0.0001937805,0.9758961,0.0001865612,0.00004476593,0.00006452142,0.00004484309,0.0003151811,0.00423448],"genre_scores_gemma":[0.3968203,0.0002138662,0.5974817,0.0001856888,0.00005228432,0.0004123877,0.0001725349,0.0001044011,0.004556851],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002688226,"threshold_uncertainty_score":0.00899303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115318513578614,"score_gpt":0.2622558178298913,"score_spread":0.2511026326941052,"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."}}