{"id":"W2132055170","doi":"10.1109/foci.2007.372167","title":"Simulated Annealing with Opposite Neighbors","year":2007,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Simulated annealing; Adaptive simulated annealing; Computer science; Annealing (glass); Opposition (politics); Rate of convergence; Algorithm; Mathematical optimization; Mathematics; Materials science","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":[0.001198082,0.00046712,0.00097777,0.000584437,0.0005707445,0.0009478529,0.001215516,0.001130949,0.002204731],"category_scores_gemma":[0.004070569,0.0004020733,0.0009523274,0.0004911464,0.001046309,0.001240878,0.001278516,0.001244412,0.0004621342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005077936,"about_ca_system_score_gemma":0.0005710881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008621024,"about_ca_topic_score_gemma":0.0009332084,"domain_scores_codex":[0.998507,0.0007288242,0.0000553158,0.0002001247,0.0004328902,0.00007579139],"domain_scores_gemma":[0.998806,0.0006624638,0.00008180597,0.0002507817,0.0001568427,0.00004218752],"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":[0.0001939045,0.0001031376,0.0006398137,0.0001096002,0.0001204813,0.00009518937,0.0001723823,0.7681643,0.008171901,0.140853,0.0008871834,0.08048903],"study_design_scores_gemma":[0.00002827578,0.00008672372,0.00009168887,0.00001146688,0.00001734872,0.00005920838,0.00001364886,0.967202,0.002468903,0.02491425,0.005089556,0.00001692606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01765857,0.0002037983,0.9718055,0.0001457466,0.0001330674,0.0000584981,0.00001604969,0.0002085463,0.009770278],"genre_scores_gemma":[0.5132939,0.0002491851,0.4782492,0.0002225704,0.00006523717,0.0002495324,0.00008276533,0.0001413841,0.007446214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002204731,"threshold_uncertainty_score":0.007375598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126460939955552,"score_gpt":0.2681736353011252,"score_spread":0.2569090259015697,"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."}}