{"id":"W3119250667","doi":"10.1109/iscmi51676.2020.9311551","title":"NichePSO and the Merging Subswarm Problem","year":2020,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Local optimum; Computer science; Particle swarm optimization; Mathematical optimization; Multi-swarm optimization; Algorithm design; Metaheuristic; Optimization problem; Local search (optimization); Algorithm; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004449878,0.00005699654,0.00009081655,0.00002223854,0.0000985017,0.0002275739,0.0005620201,0.00001440496,0.000087221],"category_scores_gemma":[0.0002031815,0.000032827,0.00001925713,0.0003856746,0.00008116901,0.0001605588,0.0004008628,0.0001017771,0.00006289302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004232245,"about_ca_system_score_gemma":0.00003499126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001395511,"about_ca_topic_score_gemma":7.379289e-7,"domain_scores_codex":[0.9991382,0.0001088441,0.0001237512,0.0002195378,0.0002651766,0.0001444835],"domain_scores_gemma":[0.999399,0.0001870719,0.00002569903,0.0002133831,0.00006314346,0.0001116876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001788828,0.00001700472,0.0001940224,0.00003066183,0.00003187114,0.00001276282,0.003531067,0.00151676,0.00007971931,0.9192654,0.007533226,0.0677696],"study_design_scores_gemma":[0.0005195216,0.00001279524,0.00004465261,0.000001233385,0.000001785627,0.000004077258,0.00002667347,0.9920457,0.0002336629,0.001560207,0.005499003,0.00005068197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008532253,0.0001193498,0.9284861,0.05438928,0.00002823816,0.0001748308,1.707066e-7,0.0001015091,0.0166152],"genre_scores_gemma":[0.1339056,0.0001450049,0.8579101,0.005652961,0.00008267231,0.00002799139,6.442769e-7,0.00001055922,0.002264408],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9905289,"threshold_uncertainty_score":0.21945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376218483954947,"score_gpt":0.2530750748867784,"score_spread":0.229312890047229,"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."}}