{"id":"W4409603245","doi":"10.61091/jcmcc127b-144","title":"Research on multi-objective optimization strategy and algorithm improvement based on genetic algorithm in large-scale computing environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Wireless Sensor Networks and IoT","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Scale (ratio); Genetic algorithm; Optimization algorithm; Mathematical optimization; Machine learning; Mathematics","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":[0.001148336,0.0009310739,0.0009066889,0.001003803,0.0004911888,0.0009740545,0.00112351,0.0008457002,0.0007782388],"category_scores_gemma":[0.001876924,0.0003007803,0.001055093,0.001598995,0.0009172112,0.001645342,0.0005101371,0.001047069,0.0001727217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007752248,"about_ca_system_score_gemma":0.00135208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003612121,"about_ca_topic_score_gemma":0.001986162,"domain_scores_codex":[0.9992682,0.0001874133,0.00003611344,0.0001626211,0.0002962815,0.00004941596],"domain_scores_gemma":[0.9993958,0.0002990304,0.00006805362,0.00005503671,0.0001594882,0.00002248232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004744422,0.00009799445,0.002001001,0.0003159371,0.0001730229,0.00009565532,0.000151324,0.7418734,0.01042092,0.03502,0.001192552,0.2086108],"study_design_scores_gemma":[0.00002351849,0.0001056057,0.0006284908,0.00002379191,0.00003755529,0.0000742577,0.00003342839,0.9837183,0.003381067,0.00863082,0.003322938,0.00002017082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02135777,0.002361641,0.9718034,0.0002422949,0.00007975887,0.00005593032,0.00001128969,0.0002134592,0.003874487],"genre_scores_gemma":[0.5477753,0.004920404,0.4432697,0.0002396793,0.0001326821,0.0002397709,0.00009479638,0.0001197951,0.003207856],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003612121,"threshold_uncertainty_score":0.00718224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232949993685688,"score_gpt":0.2607409782868883,"score_spread":0.2484114783500314,"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."}}