{"id":"W2170337736","doi":"10.1007/978-3-540-87700-4_1","title":"On the Behaviour of the (1+1)-ES for a Simple Constrained Problem","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Constraint (computer-aided design); Computer science; Markov chain; Simple (philosophy); Mathematical optimization; Limit (mathematics); Applied mathematics; Algorithm; Mathematics; Geometry; Mathematical analysis","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":[0.002673468,0.001069958,0.001132667,0.0007283995,0.0008045833,0.001800886,0.001665859,0.002782995,0.008197302],"category_scores_gemma":[0.01800894,0.0004765466,0.0009865528,0.001215141,0.002333914,0.002643757,0.001649671,0.002465244,0.0006481811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009857025,"about_ca_system_score_gemma":0.0006527493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003044885,"about_ca_topic_score_gemma":0.002277395,"domain_scores_codex":[0.9992862,0.0003913307,0.00002854183,0.00008989411,0.0001301099,0.00007390617],"domain_scores_gemma":[0.9911187,0.008061246,0.0002244097,0.0002284651,0.0002240479,0.0001431458],"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":[0.0002473997,0.0000777548,0.0007045637,0.000433392,0.00006170417,0.0001692978,0.0002341909,0.5982012,0.003075269,0.3478541,0.006028744,0.04291242],"study_design_scores_gemma":[0.00002910768,0.00004261404,0.0002294215,0.00003706802,0.00001266008,0.00007052552,0.00003012043,0.8570267,0.0003494514,0.1412049,0.0009518173,0.00001565796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2157843,0.009307976,0.6406187,0.004223643,0.0007192012,0.0001470086,0.0003535017,0.0005944803,0.1282513],"genre_scores_gemma":[0.784474,0.002665492,0.1812974,0.0008356213,0.0003625966,0.0001526626,0.0003067662,0.0004392108,0.02946637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008197302,"threshold_uncertainty_score":0.02742273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03279748623791293,"score_gpt":0.2782510272865041,"score_spread":0.2454535410485912,"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."}}