{"id":"W2947748448","doi":"10.3390/info10060184","title":"FPGA Implementation of Crossover Module of Genetic Algorithm","year":2019,"lang":"en","type":"article","venue":"Information","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crossover; Field-programmable gate array; Computer science; Travelling salesman problem; Genetic algorithm; Parallel computing; Software; Realization (probability); Computer architecture; Field (mathematics); Algorithm; Embedded system; Operating system; Mathematics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002394049,0.00005500977,0.0001057059,0.0001870027,0.00001911331,0.00005149604,0.000320721,0.00003001459,0.000262774],"category_scores_gemma":[0.00002614989,0.00005338695,0.00003101005,0.0003522859,0.00001950814,0.001439727,0.0001053578,0.00003986167,0.0001445547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000241612,"about_ca_system_score_gemma":0.00008613472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007551663,"about_ca_topic_score_gemma":5.589982e-7,"domain_scores_codex":[0.9988601,0.00002628083,0.000459739,0.00007186228,0.0004664021,0.0001155686],"domain_scores_gemma":[0.9989839,0.00003332976,0.0002653131,0.0003129324,0.0003740044,0.00003050921],"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":[0.000003749992,0.00001994616,0.001436425,0.00008438277,0.00001560686,1.445105e-7,0.001347387,0.01587233,0.000166572,0.003410253,0.0002922307,0.977351],"study_design_scores_gemma":[0.0007122299,0.00008807748,0.03716932,0.000007248078,0.000002414663,0.000002392759,0.0001012627,0.9373252,0.02309504,0.000465399,0.000958717,0.00007264884],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02516229,0.000009075615,0.9728945,0.00003915445,0.000160975,0.0002716053,0.00001659464,0.00001972832,0.001426011],"genre_scores_gemma":[0.4008721,0.00001462861,0.5988935,0.00005500026,0.00001187114,0.00001018528,0.00003067548,0.000003618976,0.0001083736],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9772783,"threshold_uncertainty_score":0.2877191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009378328181832317,"score_gpt":0.2873228973729056,"score_spread":0.2779445691910732,"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."}}