[{"title":"( 41 个子文件 11MB ) 旅行优化器:通过蚁群和遗传进化优化旅行时间","children":[{"title":"trip-optimizer-master","children":[{"title":"Taxi-Trip-Duration-Data","children":[{"title":"train.csv <span style='color:#111;'> 134B </span>","children":null,"spread":false},{"title":"test.csv <span style='color:#111;'> 133B </span>","children":null,"spread":false}],"spread":true},{"title":".gitattributes <span style='color:#111;'> 126B </span>","children":null,"spread":false},{"title":"Bio-Inspired-Algorithms","children":[{"title":"aco.py <span style='color:#111;'> 5.33KB </span>","children":null,"spread":false},{"title":"genetic_evo_main.py <span style='color:#111;'> 8.33KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"aco.cpython-36.pyc <span style='color:#111;'> 5.48KB </span>","children":null,"spread":false},{"title":"plot.cpython-36.pyc <span style='color:#111;'> 988B </span>","children":null,"spread":false}],"spread":true},{"title":"aco_main.py <span style='color:#111;'> 5.45KB </span>","children":null,"spread":false},{"title":"plot.py <span style='color:#111;'> 891B </span>","children":null,"spread":false}],"spread":true},{"title":"xgb_model.sav <span style='color:#111;'> 134B </span>","children":null,"spread":false},{"title":"Project-Presentation.pdf <span style='color:#111;'> 2.06MB </span>","children":null,"spread":false},{"title":"Project-Proposal.pdf <span style='color:#111;'> 52.14KB </span>","children":null,"spread":false},{"title":"Figures","children":[{"title":"typical-trips.png <span style='color:#111;'> 248.20KB </span>","children":null,"spread":false},{"title":"Table2.png <span style='color:#111;'> 64.53KB </span>","children":null,"spread":false},{"title":"trip-duration-heatmap.png <span style='color:#111;'> 14.45KB </span>","children":null,"spread":false},{"title":"optimized_stops.png <span style='color:#111;'> 1.97MB </span>","children":null,"spread":false},{"title":"ACO-Equation.png <span style='color:#111;'> 13.41KB </span>","children":null,"spread":false},{"title":"TLC-trip-records.png <span style='color:#111;'> 120.68KB </span>","children":null,"spread":false},{"title":"ant-colony.jpg <span style='color:#111;'> 80.96KB </span>","children":null,"spread":false},{"title":"cluster-histogram-trip.png <span style='color:#111;'> 12.77KB </span>","children":null,"spread":false},{"title":"spatial-density-pickup-dropoff.png <span style='color:#111;'> 152.19KB </span>","children":null,"spread":false},{"title":"trip-duration-lat-long.png <span style='color:#111;'> 14.26KB </span>","children":null,"spread":false},{"title":"trip-duration-aerial-distance-pickup-dropoff.png <span style='color:#111;'> 157.45KB </span>","children":null,"spread":false},{"title":"pickup-heatmap-day-of-week-vs-hour.png <span style='color:#111;'> 13.55KB </span>","children":null,"spread":false},{"title":"xgb.png <span style='color:#111;'> 211.78KB </span>","children":null,"spread":false},{"title":"genetic-algo.png <span style='color:#111;'> 54.04KB </span>","children":null,"spread":false},{"title":"pickups-hour-distribution.png <span style='color:#111;'> 8.74KB </span>","children":null,"spread":false},{"title":"Table1.png <span style='color:#111;'> 62.48KB </span>","children":null,"spread":false},{"title":"trip-duration-distribution.png <span style='color:#111;'> 8.63KB </span>","children":null,"spread":false},{"title":"pickups-weekday-distribution.png <span style='color:#111;'> 9.48KB </span>","children":null,"spread":false}],"spread":false},{"title":"Research-Papers","children":[{"title":"An_Improved_Routing_Optimization_Algorithm_Based_o.pdf <span style='color:#111;'> 1.74MB </span>","children":null,"spread":false},{"title":"An_Optimization_Framework_For_Online_RidesharingMarkets.pdf <span style='color:#111;'> 744.29KB </span>","children":null,"spread":false},{"title":"OnlineVehicleRouting.pdf <span style='color:#111;'> 1.24MB </span>","children":null,"spread":false},{"title":"Ant colony optimization techniques for the vehicle routing problem.pdf <span style='color:#111;'> 152.68KB </span>","children":null,"spread":false},{"title":"Path_Optimization_Taxi_Carpooling.pdf <span style='color:#111;'> 1.55MB </span>","children":null,"spread":false},{"title":"Research_on_Optimization_Vehicle_Routing_Problem_for_RideSharingTaxi.pdf <span style='color:#111;'> 191.27KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false},{"title":"Util-Functions","children":[{"title":"XGBoost.py <span style='color:#111;'> 4.75KB </span>","children":null,"spread":false},{"title":"sophisticatedAnalysis.py <span style='color:#111;'> 9.74KB </span>","children":null,"spread":false},{"title":"basicAnalysis.py <span style='color:#111;'> 4.51KB </span>","children":null,"spread":false}],"spread":true},{"title":"Trip-Optimizer-Project-Report.pdf <span style='color:#111;'> 1.29MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]