{"id":"W4405964481","doi":"10.1016/j.swevo.2024.101830","title":"An evolutionary task scheduling algorithm using fuzzy fitness evaluation method for communication satellite network","year":2025,"lang":"en","type":"article","venue":"Swarm and Evolutionary Computation","topic":"Satellite Communication Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Computer science; Evolutionary algorithm; Task (project management); Fuzzy logic; Scheduling (production processes); Satellite; Algorithm; Artificial intelligence; Mathematical optimization","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001539567,0.0002467726,0.0002766799,0.00027984,0.0006588912,0.00009135729,0.0002666258,0.0001930709,0.000004258655],"category_scores_gemma":[0.00004892988,0.0003003174,0.00007540765,0.0006694653,0.00007558276,0.0006239846,0.00007223799,0.000187652,0.000005461367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000476584,"about_ca_system_score_gemma":0.0001416887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000541033,"about_ca_topic_score_gemma":0.000007773865,"domain_scores_codex":[0.9978516,0.0005725882,0.0006156111,0.0003620487,0.0002919487,0.0003062153],"domain_scores_gemma":[0.9980925,0.0005250495,0.0001398048,0.0005371758,0.000622702,0.00008279425],"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":[0.00001959352,0.00003453468,0.0005734432,0.000103466,0.0000677578,1.159584e-7,0.0002750923,0.8316075,0.0005388196,0.001711071,0.0002276604,0.1648409],"study_design_scores_gemma":[0.0006687738,0.00002670115,0.01184132,0.0001826262,0.00009827902,0.00001398463,0.000345058,0.945596,0.00004611757,0.03795485,0.002958565,0.0002676939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01466138,0.04397572,0.938333,0.0001376438,0.0006824494,0.001103742,0.00003177182,0.0003978966,0.0006764492],"genre_scores_gemma":[0.4284483,0.0008399613,0.5692223,0.00005313179,0.0001730321,0.0001600782,0.001054876,0.00003247228,0.0000159138],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4137869,"threshold_uncertainty_score":0.9999449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409292097560975,"score_gpt":0.3385798890785656,"score_spread":0.3044869681029558,"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."}}