{"id":"W4411446975","doi":"10.1007/978-3-031-88634-8_2","title":"An A*-Aware Coevolutionary Algorithm Solution for Finding Collision-Free Paths","year":2025,"lang":"en","type":"book-chapter","venue":"Signals and communication technology","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Collision; Computer science; Algorithm; Mathematical optimization; Mathematics; Computer security","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":[0.0002758971,0.0005544595,0.0004993206,0.0003860157,0.0004792693,0.0006050201,0.001408395,0.001230393,0.003908306],"category_scores_gemma":[0.001017024,0.0003128893,0.0004689445,0.0006213567,0.0004296557,0.0005935297,0.001212002,0.0008851485,0.0005696364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004041766,"about_ca_system_score_gemma":0.0006628816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004158496,"about_ca_topic_score_gemma":0.003812789,"domain_scores_codex":[0.9998763,0.00002386061,0.000006303827,0.00003027895,0.00004596713,0.00001724692],"domain_scores_gemma":[0.9998047,0.000087338,0.00001117487,0.00002108044,0.00006212179,0.00001364918],"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":[0.0000563761,0.00005840908,0.0002995042,0.00005310788,0.00004167809,0.00007384692,0.00007502229,0.8379381,0.005350004,0.01683585,0.002873772,0.1363443],"study_design_scores_gemma":[0.000004853168,0.00001487137,0.00003838189,0.000003057307,0.000003778339,0.00001670656,0.000005514858,0.9972697,0.0003371116,0.001692852,0.0006109281,0.000002301771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01663668,0.0001936574,0.9743077,0.000119099,0.00007069625,0.00003752037,0.00002810524,0.0002829669,0.008323646],"genre_scores_gemma":[0.3386766,0.000262414,0.6458218,0.0001542058,0.00004838955,0.0002317022,0.0001322533,0.0001607546,0.0145118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004158496,"threshold_uncertainty_score":0.01307458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182875567877301,"score_gpt":0.2768213417315326,"score_spread":0.2549925860527596,"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."}}