{"id":"W2156166258","doi":"10.1007/978-3-540-24855-2_28","title":"The Shifting Balance Genetic Algorithm as More than Just Another Island Model GA","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Genetic algorithm; Balance (ability); Computer science; Population; Mechanism (biology); Extension (predicate logic); Diversity (politics); Algorithm; Machine learning; Biology; Sociology; Demography; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002072397,0.0003367205,0.0004431154,0.0002735281,0.0003686661,0.001117031,0.0008376385,0.000836433,0.004563923],"category_scores_gemma":[0.0005621877,0.000189367,0.0003476539,0.000599593,0.000615227,0.00129184,0.0007776798,0.001002382,0.0006272006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004217646,"about_ca_system_score_gemma":0.0005334614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002167189,"about_ca_topic_score_gemma":0.001893714,"domain_scores_codex":[0.9998969,0.0000293564,0.000003003791,0.00002070824,0.00003921892,0.00001081781],"domain_scores_gemma":[0.9999286,0.00002276647,0.000005534199,0.00001970584,0.00001339849,0.00001010081],"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":[0.00009126549,0.0001026865,0.0004969845,0.00007253393,0.00006693473,0.0001542883,0.0002115125,0.4306524,0.01279218,0.3138297,0.007117467,0.2344121],"study_design_scores_gemma":[0.00003038449,0.00007983527,0.0001976964,0.0000178641,0.00003646602,0.0001382613,0.00005191766,0.8629413,0.002045044,0.115815,0.01862883,0.00001728155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05921451,0.00130034,0.8456698,0.001157394,0.0004196664,0.00006684574,0.00005616712,0.000594253,0.09152111],"genre_scores_gemma":[0.6239295,0.001512583,0.3078834,0.0005820908,0.0001661151,0.0001516052,0.000123192,0.0003614894,0.06529007],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004563923,"threshold_uncertainty_score":0.01526785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227296970483767,"score_gpt":0.2779428918105858,"score_spread":0.2556699221057481,"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."}}