{"id":"W4391145932","doi":"10.3390/biomimetics9020065","title":"Pufferfish Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems","year":2024,"lang":"en","type":"article","venue":"Biomimetics","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benchmark (surveying); Metaheuristic; Algorithm; Test suite; Computer science; Evolutionary algorithm; Optimization algorithm; Optimization problem; Mathematical optimization; Artificial intelligence; Test case; Mathematics; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008339377,0.001283038,0.001214311,0.001051081,0.0005121524,0.000982467,0.001646757,0.001758704,0.002724025],"category_scores_gemma":[0.001674135,0.0004509722,0.001289818,0.001251225,0.0006512586,0.001178582,0.001145312,0.001524327,0.0006655573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007420682,"about_ca_system_score_gemma":0.001940385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004276724,"about_ca_topic_score_gemma":0.003877057,"domain_scores_codex":[0.9995989,0.0001219022,0.00002979386,0.00006660999,0.0001447,0.00003808688],"domain_scores_gemma":[0.9996386,0.0001763175,0.00005144274,0.00003593523,0.00007812048,0.00001947711],"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":[0.00007369729,0.00007689331,0.0009402679,0.0002894742,0.0001889296,0.00009270354,0.0000582579,0.8380838,0.003780222,0.01390405,0.004834717,0.137677],"study_design_scores_gemma":[0.00004001507,0.00005117245,0.0001406795,0.00002641327,0.00002272278,0.00005602406,0.00001288754,0.9880838,0.0007885713,0.003993694,0.006773862,0.00001009853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01136564,0.001794385,0.9789627,0.0003935413,0.0001483422,0.0001232002,0.0001484964,0.0007444008,0.00631938],"genre_scores_gemma":[0.1509514,0.001643077,0.8383847,0.0005349283,0.00010597,0.00076019,0.0005958879,0.0003022393,0.006721597],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004276724,"threshold_uncertainty_score":0.009112775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0328331190701672,"score_gpt":0.2881612102099395,"score_spread":0.2553280911397723,"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."}}