{"id":"W2051644915","doi":"10.1109/ccece.2014.6901103","title":"Simulated Raindrop algorithm for global optimization","year":2014,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Robustness (evolution); Simulated annealing; Benchmark (surveying); Computer science; Algorithm; Convergence (economics); Mathematical optimization; Mathematics; Geology","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":[0.0005685894,0.0006458151,0.0007837643,0.0005560073,0.0002987464,0.0005873109,0.001155843,0.0008052525,0.002745407],"category_scores_gemma":[0.001317609,0.0002831373,0.0008143357,0.0005330169,0.0004744109,0.00059708,0.0008039411,0.001015275,0.0006014435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005586351,"about_ca_system_score_gemma":0.0008203014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001642994,"about_ca_topic_score_gemma":0.001733184,"domain_scores_codex":[0.9996198,0.0001430607,0.00001478843,0.0000474518,0.0001448824,0.00002995912],"domain_scores_gemma":[0.9996456,0.0001896646,0.00003832674,0.00004606227,0.00006150759,0.00001882923],"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":[0.00006437157,0.00004342977,0.0004496924,0.0001395403,0.0001097386,0.00005896458,0.00004592595,0.8914152,0.003476556,0.0292542,0.00237651,0.07256589],"study_design_scores_gemma":[0.00001970418,0.00003483961,0.000059932,0.000009308553,0.00001086631,0.00001987296,0.00000591625,0.9900333,0.0008997053,0.005250701,0.003650956,0.000004912735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005186102,0.0004174518,0.989912,0.0001029062,0.00006688261,0.00005488213,0.0000395051,0.0003810734,0.003839249],"genre_scores_gemma":[0.2892817,0.0008708001,0.7032666,0.0002691425,0.00009627559,0.0005511874,0.000328414,0.0002514776,0.005084343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002745407,"threshold_uncertainty_score":0.009184361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793638668211045,"score_gpt":0.2984521404160593,"score_spread":0.2805157537339488,"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."}}