{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001152829,0.0005146086,0.0005356587,0.00102264,0.0003643825,0.002191273,0.001392887,0.000292099,0.0001818008],"category_scores_gemma":[0.0006541701,0.0005056293,0.0002607902,0.002923968,0.00011882,0.001075992,0.0004373273,0.0002854778,0.00009308519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002539365,"about_ca_system_score_gemma":0.000674017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004538914,"about_ca_topic_score_gemma":9.712397e-7,"domain_scores_codex":[0.9956383,0.0001631907,0.0009805803,0.001319691,0.0009981958,0.0009001094],"domain_scores_gemma":[0.9969286,0.0006038862,0.0002184062,0.0009970693,0.0007460833,0.0005059154],"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":[0.000004197872,0.0001334139,0.000002080598,0.0001276501,0.0001809972,0.00002375054,0.0001954089,0.5535012,0.00009095391,0.002752106,0.006538935,0.4364493],"study_design_scores_gemma":[0.000839763,0.000249951,0.000002592112,0.0001087954,0.0001223638,0.00003605644,0.00001122422,0.9841058,0.0009220221,0.0009776832,0.0120532,0.0005705226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000001702791,0.001692168,0.9907334,0.001471072,0.002986779,0.001678056,0.0001004194,0.001136072,0.0002003278],"genre_scores_gemma":[0.000159168,0.0004884747,0.9943622,0.0001462907,0.0005895608,0.0001913936,0.0002836456,0.0001252767,0.003653945],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4358788,"threshold_uncertainty_score":0.9997395,"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."}}