{"id":"W2745034076","doi":"10.23977/jaip.2017.21001","title":"Comparison of Three Evolutionary Algorithms: PSOA, ACOA and BCOA on Recognition Arabic Characters Problem","year":2017,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ant colony optimization algorithms; Particle swarm optimization; Metaheuristic; Swarm intelligence; Artificial bee colony algorithm; Meta-optimization; Computer science; Genetic algorithm; Multi-swarm optimization; Parallel metaheuristic; Mathematical optimization; Evolutionary computation; Optimization problem; Algorithm; Artificial intelligence; Mathematics; Machine learning","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":[0.0008019125,0.0007133139,0.0008442083,0.001227262,0.0005914788,0.0009869556,0.0006213321,0.0009362623,0.001586202],"category_scores_gemma":[0.002726347,0.00017359,0.0006081055,0.001300448,0.0003308169,0.0009252809,0.0003826956,0.0004965755,0.0003081215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004110362,"about_ca_system_score_gemma":0.0009734069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006862344,"about_ca_topic_score_gemma":0.004759862,"domain_scores_codex":[0.9994836,0.0001311713,0.00004853231,0.00007405604,0.0002145913,0.00004804344],"domain_scores_gemma":[0.9991062,0.0004021317,0.00006090951,0.00005771694,0.0003354406,0.00003768845],"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":[0.0003979412,0.0002786066,0.005466476,0.0005457614,0.0001877064,0.0001357812,0.0001424244,0.2934889,0.006206241,0.008660797,0.005051695,0.6794377],"study_design_scores_gemma":[0.00005268833,0.0002269606,0.003122222,0.00005241219,0.00007192512,0.0001875598,0.0001189453,0.9836271,0.005284889,0.002818443,0.004413311,0.0000235286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.202239,0.01011508,0.7475402,0.001556374,0.0005712198,0.0002259786,0.0001736721,0.001204235,0.03637424],"genre_scores_gemma":[0.6675021,0.004011855,0.3195486,0.0002906628,0.0001290547,0.0002074508,0.0003362731,0.0001495183,0.007824383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006862344,"threshold_uncertainty_score":0.01364481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1804377277468356,"score_gpt":0.4225814047868751,"score_spread":0.2421436770400395,"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."}}