{"id":"W4409252854","doi":"10.1016/j.apm.2025.116131","title":"A novel Hybrid PSO-Heuristic Algorithm with Combinatorial Benders' Cuts for maximal evacuation planning in wildfire disasters","year":2025,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of British Columbia, Okanagan Campus","funders":"","keywords":"Heuristic; Mathematical optimization; Benders' decomposition; Particle swarm optimization; Computer science; Operations research; Algorithm; Mathematics","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":[0.0005552995,0.0009033396,0.0009127129,0.0006660615,0.00043807,0.0008895437,0.001063063,0.001244932,0.002084869],"category_scores_gemma":[0.001217062,0.0005190721,0.0008885708,0.0006911567,0.0004082717,0.0006191608,0.0006638716,0.000841274,0.000263086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005071338,"about_ca_system_score_gemma":0.001122729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008134302,"about_ca_topic_score_gemma":0.006180075,"domain_scores_codex":[0.9997372,0.00008209633,0.00001252669,0.00005038042,0.00006377695,0.00005400145],"domain_scores_gemma":[0.9996778,0.0001839301,0.00003795948,0.00001778562,0.00005372241,0.00002873026],"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":[0.00005122637,0.00003161508,0.0002607272,0.00004461988,0.00003052164,0.00005213624,0.00003252013,0.9727142,0.0007630407,0.0044954,0.0007214675,0.02080248],"study_design_scores_gemma":[0.00001171604,0.0000180938,0.00004454851,0.000003189642,0.00000447092,0.00000794102,0.000005390408,0.9987767,0.0001356865,0.0007034972,0.0002858901,0.000002899436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0248726,0.0002380102,0.9692518,0.0001284175,0.00006443296,0.0001051793,0.00006938115,0.0003200622,0.004950052],"genre_scores_gemma":[0.5463942,0.0002541437,0.4486963,0.0001492438,0.00005113778,0.0003751746,0.0003775613,0.0001078085,0.003594481],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008134302,"threshold_uncertainty_score":0.0161739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545292846542204,"score_gpt":0.2385788429692394,"score_spread":0.2231259145038174,"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."}}