{"id":"W4324141208","doi":"10.3390/biomimetics8010121","title":"Green Anaconda Optimization: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems","year":2023,"lang":"en","type":"article","venue":"Biomimetics","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Univerzita Hradec Králové","keywords":"Metaheuristic; Test suite; Suite; Algorithm; Computer science; Mathematical optimization; Evolutionary algorithm; Optimization problem; Optimization algorithm; Mathematics; Test case; 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":[0.0005507143,0.0009417694,0.0007221901,0.0008716758,0.0004375329,0.0007376191,0.001078876,0.001031696,0.001323726],"category_scores_gemma":[0.000953608,0.0003249057,0.0009352553,0.001045407,0.0005498323,0.0005758258,0.0007372455,0.001004886,0.0003110064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000605606,"about_ca_system_score_gemma":0.001215482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003766822,"about_ca_topic_score_gemma":0.004883392,"domain_scores_codex":[0.9997249,0.00009238247,0.00001649078,0.00003813973,0.0001001164,0.00002802908],"domain_scores_gemma":[0.999746,0.0001260807,0.00003465001,0.00002379723,0.00005380874,0.00001564655],"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":[0.00006330552,0.00007805054,0.00112208,0.0001763253,0.0001382211,0.00009027775,0.00005491856,0.8512276,0.006340595,0.01821359,0.003467268,0.1190277],"study_design_scores_gemma":[0.00002349618,0.00004636679,0.0001249714,0.00001375361,0.00001553193,0.00002887145,0.000007820128,0.9916565,0.000790861,0.003192458,0.004092667,0.000006744935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02012555,0.001088787,0.9698809,0.0002800855,0.0001406544,0.0001145546,0.00009859099,0.0006739238,0.007596882],"genre_scores_gemma":[0.2369598,0.001047594,0.7547573,0.0004895387,0.00008125938,0.0006642211,0.0003486726,0.0002198561,0.005431806],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003766822,"threshold_uncertainty_score":0.0074898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04784962429236665,"score_gpt":0.2954097904869883,"score_spread":0.2475601661946216,"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."}}