{"id":"W4317792302","doi":"10.1109/wsc57314.2022.10015470","title":"A Meta-Heuristic Solution Approach to Isolated Evacuation Problems","year":2022,"lang":"en","type":"article","venue":"2022 Winter Simulation Conference (WSC)","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Marine Environmental Observation Prediction and Response Network","keywords":"Routing (electronic design automation); Computer science; Heuristic; Key (lock); Set (abstract data type); Meta heuristic; Scale (ratio); Mathematical optimization; Genetic algorithm; Distributed computing; Algorithm; Artificial intelligence; Computer security; Computer network; Mathematics; Machine learning; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009485503,0.0002863614,0.0003846241,0.000387137,0.000486446,0.0002887581,0.001144454,0.00006519521,0.000335483],"category_scores_gemma":[0.0001309327,0.0002911596,0.0001540638,0.001095891,0.00002694823,0.0006227003,0.0007435942,0.0003978299,0.000143539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002514961,"about_ca_system_score_gemma":0.0001671116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005418536,"about_ca_topic_score_gemma":0.000001825566,"domain_scores_codex":[0.9967484,0.000480494,0.000558013,0.000880926,0.0008858957,0.0004462177],"domain_scores_gemma":[0.9982885,0.0001873641,0.0002599331,0.000786429,0.0003134654,0.000164381],"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":[0.00001763492,0.0001384701,0.00007705671,0.00001348368,0.0001778785,0.000004491656,0.003356269,0.9880581,0.0004834199,0.002811395,0.0007817383,0.00408009],"study_design_scores_gemma":[0.0003538975,0.0002513108,0.0006728508,0.000009483822,0.0001300192,0.00001784887,0.00007225652,0.9943456,0.00002682063,0.001673231,0.00211485,0.0003318074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001100595,0.00006770403,0.9937504,0.0008987032,0.0007263752,0.0008163021,0.00002251994,0.0004118049,0.002205587],"genre_scores_gemma":[0.9383646,8.083747e-7,0.0591313,0.0004838182,0.00006155679,0.0004117395,0.000108334,0.00002187816,0.001415915],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9372641,"threshold_uncertainty_score":0.999954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1285122577192444,"score_gpt":0.2940134070984007,"score_spread":0.1655011493791564,"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."}}