{"id":"W2022253420","doi":"10.1007/s10732-008-9093-z","title":"Special issue on mathematical contributions to metaheuristics editorial","year":2008,"lang":"en","type":"article","venue":"Journal of Heuristics","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Metaheuristic; Computer science; Mathematical optimization; Heuristics; Optimization problem; Scheduling (production processes); Combinatorial optimization; Parallel metaheuristic; Embedding; Mathematics; Algorithm; Artificial intelligence; Meta-optimization","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":[0.0002418152,0.0001338476,0.0003360465,0.0001227693,0.0000834839,0.00003291077,0.0001485179,0.00009345297,0.0002924599],"category_scores_gemma":[0.002267047,0.0001134746,0.0001068186,0.0001601668,0.00004204733,0.00005341572,0.00001822634,0.0003360713,0.0003359753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009050369,"about_ca_system_score_gemma":0.00004180957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.607741e-8,"about_ca_topic_score_gemma":9.717555e-8,"domain_scores_codex":[0.9986511,0.00002234484,0.0005917899,0.00006238834,0.0004634075,0.0002089961],"domain_scores_gemma":[0.9988241,0.0002823434,0.00008867641,0.0001264003,0.0004095898,0.0002689004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003105803,0.0001670535,0.000003169851,0.00004167002,0.00005528527,0.00009217998,0.000223711,0.01855038,0.0000397496,0.007199924,0.9725163,0.001079495],"study_design_scores_gemma":[0.000551201,0.0002727908,0.000009477002,0.00005769104,0.00007683613,0.0001725527,0.00003229545,0.005559932,0.0004266314,0.004853532,0.987811,0.000176077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"editorial","genre_scores_codex":[0.001573736,0.00005160886,0.8914358,0.0007335934,0.07208193,0.0003229936,0.00007909635,0.0001640456,0.03355718],"genre_scores_gemma":[0.05757065,0.0002121129,0.2263952,0.0003187267,0.7143248,0.000007437022,0.000007838897,0.0001181092,0.001045085],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6650406,"threshold_uncertainty_score":0.4627361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232931797712651,"score_gpt":0.2686253448139557,"score_spread":0.2562960268368292,"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."}}