{"id":"W4406794018","doi":"10.1109/tevc.2025.3534026","title":"A Novel Knowledge-Based Genetic Algorithm for Robot Path Planning in Complex Environments","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Evolutionary Computation","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Motion planning; Computer science; Genetic algorithm; Robot; Artificial intelligence; Path (computing); Algorithm; Machine learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001988995,0.0002510853,0.0002451169,0.0006706358,0.0003444196,0.00005718789,0.0004129912,0.0001224217,0.000003011592],"category_scores_gemma":[0.000006265135,0.0002984525,0.0001148318,0.00078014,0.00006383474,0.0002530434,0.000005495708,0.0002240238,0.00002498228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004825641,"about_ca_system_score_gemma":0.0002444753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002554235,"about_ca_topic_score_gemma":0.000001405214,"domain_scores_codex":[0.9981665,0.0001057106,0.0004622489,0.0006234405,0.0002673391,0.0003747851],"domain_scores_gemma":[0.9990082,0.0004430991,0.0001070398,0.0003009149,0.00006424387,0.00007652032],"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":[0.00001462624,0.0005764326,0.00003565501,0.00001861798,0.00002276669,0.000004891055,0.0001489393,0.8737019,0.0005916489,0.00006217051,0.0002736745,0.1245487],"study_design_scores_gemma":[0.001914192,0.0001667337,0.02977246,0.0001339402,0.0000184208,0.00001163223,0.00001991482,0.9665422,0.0002728586,0.0006494159,0.0002489731,0.0002492587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002860646,0.0001242892,0.997425,0.0002782658,0.0009067891,0.0006606449,0.00004587422,0.0001837148,0.00008938731],"genre_scores_gemma":[0.2617721,0.00000192637,0.7376697,0.0001693035,0.0000266245,0.0001791613,0.00003937689,0.00001398206,0.0001278381],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.261486,"threshold_uncertainty_score":0.9999468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03299743742900293,"score_gpt":0.2900253858983608,"score_spread":0.2570279484693579,"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."}}