{"id":"W2961079568","doi":"10.5267/j.ijiec.2019.6.002","title":"Rao algorithms: Three metaphor-less simple algorithms for solving optimization problems","year":2019,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":327,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Algorithm; Simple (philosophy); Dimension (graph theory); Mathematical optimization; Computer science; Optimization problem; Optimization algorithm; Continuous optimization; Process (computing); Mathematics; Multi-swarm optimization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001657712,0.002149701,0.001971378,0.001679329,0.0005784247,0.001549823,0.002876843,0.00236124,0.005090734],"category_scores_gemma":[0.005227244,0.0006800185,0.001621592,0.001585715,0.00114754,0.001684176,0.002120752,0.001893308,0.001946941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006838855,"about_ca_system_score_gemma":0.001470119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403195,"about_ca_topic_score_gemma":0.002578373,"domain_scores_codex":[0.9986093,0.0005211755,0.00008420133,0.0001643462,0.0005223052,0.00009862166],"domain_scores_gemma":[0.9985142,0.0007134895,0.0002094072,0.0002428784,0.0002295764,0.00009039045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002598932,0.0002254242,0.0008968927,0.0006801115,0.000231182,0.0001052274,0.0001787271,0.4161955,0.007486544,0.0623208,0.007200964,0.5042187],"study_design_scores_gemma":[0.0001217626,0.0002369761,0.0003201217,0.00004447886,0.00004510818,0.0001490294,0.00003739692,0.9704189,0.002753499,0.01518336,0.01062582,0.0000636268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004439692,0.000490572,0.9910551,0.0001041554,0.00007794541,0.000153783,0.00004341432,0.0009448189,0.002690531],"genre_scores_gemma":[0.05139292,0.0004449674,0.9433118,0.0001976328,0.00008354903,0.0006522962,0.0001605973,0.00030395,0.003452429],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005090734,"threshold_uncertainty_score":0.01703024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06204859873689692,"score_gpt":0.3061649612971565,"score_spread":0.2441163625602596,"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."}}