[8670] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using System.Collections.Generic;
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| 24 | using System.Linq;
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| 25 | using System.Text;
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| 26 | using HeuristicLab.Optimization;
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| 27 | using HeuristicLab.Analysis;
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| 28 | using HeuristicLab.Data;
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| 29 | using HeuristicLab.PDPSimulation.DomainModel;
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| 30 | using HeuristicLab.Core;
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| 31 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 32 | using HeuristicLab.Common;
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| 33 | using HeuristicLab.Problems.VehicleRouting;
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| 34 | using HeuristicLab.PDPSimulation.Operators;
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| 35 | using HeuristicLab.Problems.VehicleRouting.Encodings.Potvin;
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| 36 |
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| 37 | namespace HeuristicLab.PDPSimulation {
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| 38 | [Item("PickupDeliveryAnalyzer", "A pickup and delivery analyzer.")]
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| 39 | [StorableClass]
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| 40 | public class PickupDeliveryAnalyzer: ParameterizedNamedItem {
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| 41 | public PickupDeliveryAnalyzer() : base() {
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| 42 | }
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| 43 | [StorableConstructor]
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| 44 | protected PickupDeliveryAnalyzer(bool deserializing) : base(deserializing) { }
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| 45 | protected PickupDeliveryAnalyzer(PickupDeliveryAnalyzer original, Cloner cloner)
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| 46 | : base(original, cloner) {
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| 47 | }
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| 48 | public override IDeepCloneable Clone(Cloner cloner) {
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| 49 | return new PickupDeliveryAnalyzer(this, cloner);
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| 50 | }
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| 51 |
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| 52 | public virtual void UpdateVisualization(PickupDeliverySimulation simulation, PickupDeliveryScenario scenario, ResultCollection results) {
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| 53 | if (!results.ContainsKey("Visualization"))
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| 54 | results.Add(new Result("Visualization", new PickupDeliveryVisualization(simulation)));
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| 55 | else
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| 56 | (results["Visualization"].Value as PickupDeliveryVisualization).SetState(simulation);
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| 57 |
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| 58 | (results["Visualization"].Value as PickupDeliveryVisualization).Refresh();
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| 59 | }
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| 60 |
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| 61 | protected virtual void UpdateOrderResults(PickupDeliverySimulation simulation, PickupDeliveryScenario scenario, ResultCollection results) {
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| 62 | if (!results.ContainsKey("OrderStatistics")) {
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| 63 | DataTable data = new DataTable("OrderStatistics");
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| 64 | results.Add(new Result("OrderStatistics", data));
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| 65 |
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| 66 | data.Rows.Add(new DataRow("WaitingOrders"));
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| 67 | data.Rows.Add(new DataRow("PickedUpOrders"));
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| 68 | data.Rows.Add(new DataRow("DeliveredOrders"));
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| 69 | data.Rows.Add(new DataRow("CancelledOrders"));
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| 70 |
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| 71 | results.Add(new Result("AverageQueueLength", new DoubleValue(0)));
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| 72 | }
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| 73 |
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| 74 | DataTable orderStatistics = results["OrderStatistics"].Value as DataTable;
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| 75 |
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| 76 | int currentWaiting = 0;
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| 77 | int currentPickedUp = 0;
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| 78 | int currentDelivered = 0;
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| 79 | int currentCancelled = 0;
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| 80 |
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| 81 | foreach (Order order in simulation.Orders) {
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| 82 | if (order.OrderState == OrderState.Waiting || order.OrderState == OrderState.PickingUp)
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| 83 | currentWaiting++;
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| 84 | else if (order.OrderState == OrderState.PickedUp || order.OrderState == OrderState.Delivering)
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| 85 | currentPickedUp++;
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| 86 | else if (order.OrderState == OrderState.Delivered)
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| 87 | currentDelivered++;
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| 88 | else if (order.OrderState == OrderState.Cancelled)
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| 89 | currentCancelled++;
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| 90 | }
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| 91 |
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| 92 | orderStatistics.Rows["WaitingOrders"].Values.Add(currentWaiting);
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| 93 | orderStatistics.Rows["PickedUpOrders"].Values.Add(currentPickedUp);
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| 94 | orderStatistics.Rows["DeliveredOrders"].Values.Add(currentDelivered);
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| 95 | orderStatistics.Rows["CancelledOrders"].Values.Add(currentCancelled);
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| 96 |
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| 97 | DoubleValue queueLength = results["AverageQueueLength"].Value as DoubleValue;
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| 98 | queueLength.Value = orderStatistics.Rows["WaitingOrders"].Values.Average();
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| 99 | }
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| 100 |
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| 101 | protected virtual void UpdateVehicleResults(PickupDeliverySimulation simulation, PickupDeliveryScenario scenario, ResultCollection results) {
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| 102 | if (!results.ContainsKey("VehicleStatistics")) {
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| 103 | DataTable data = new DataTable("VehicleStatistics");
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| 104 | results.Add(new Result("VehicleStatistics", data));
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| 105 |
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| 106 | data.Rows.Add(new DataRow("UsedVehicles"));
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| 107 | data.Rows.Add(new DataRow("DrivenDistance"));
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| 108 | data.Rows.Add(new DataRow("InvalidActions"));
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| 109 | data.Rows.Add(new DataRow("Tardiness"));
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[8714] | 110 | data.Rows.Add(new DataRow("CapacityUtilization"));
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[8670] | 111 |
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| 112 | results.Add(new Result("UsedVehicles", new IntValue()));
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| 113 | results.Add(new Result("DrivenDistance", new DoubleValue()));
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| 114 | results.Add(new Result("InvalidActions", new DoubleValue()));
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| 115 | results.Add(new Result("VehicleTardiness", new DoubleValue()));
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| 116 | }
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| 117 |
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| 118 | DataTable vehicleStatistics = results["VehicleStatistics"].Value as DataTable;
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| 119 |
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| 120 | int usedVehicles = simulation.Vehicles.Where(v => v.Distance > 0).Count();
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| 121 | double distance = Math.Round(simulation.Vehicles.Sum(v => v.Distance) * 100.0) / 100.0;
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| 122 | int invalidActions = simulation.Vehicles.Sum(v => v.InvalidActions);
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[8714] | 123 | double tardiness = Math.Round(simulation.Vehicles.Sum(v => v.Tardiness) * 100.0) / 100.0;
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| 124 | var used = simulation.Vehicles.Where(v => v.Distance > 0);
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| 125 | double capacityUtilization = 0;
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| 126 | if(used.Count() > 0)
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| 127 | capacityUtilization = Math.Round(used.Average(v => 1.0 - (v.Capacity / v.TotalCapacity)) * 100.0) / 100.0;
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[8670] | 128 |
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| 129 | vehicleStatistics.Rows["UsedVehicles"].Values.Add(usedVehicles);
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| 130 | vehicleStatistics.Rows["DrivenDistance"].Values.Add(distance);
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| 131 | vehicleStatistics.Rows["InvalidActions"].Values.Add(invalidActions);
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| 132 | vehicleStatistics.Rows["Tardiness"].Values.Add(tardiness);
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[8714] | 133 | vehicleStatistics.Rows["CapacityUtilization"].Values.Add(capacityUtilization);
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[8670] | 134 |
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| 135 | (results["UsedVehicles"].Value as IntValue).Value = usedVehicles;
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| 136 | (results["DrivenDistance"].Value as DoubleValue).Value = distance;
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| 137 | (results["VehicleTardiness"].Value as DoubleValue).Value = tardiness;
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| 138 | }
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| 139 |
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| 140 | protected virtual void UpdateConstraintViolationResults(PickupDeliverySimulation simulation, PickupDeliveryScenario scenario, ResultCollection results) {
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| 141 | if (!results.ContainsKey("ConstraintViolations")) {
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| 142 | DataTable data = new DataTable("ConstraintViolations");
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| 143 | results.Add(new Result("ConstraintViolations", data));
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| 144 |
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| 145 | data.Rows.Add(new DataRow("Overload"));
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| 146 | data.Rows.Add(new DataRow("Tardiness"));
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| 147 |
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| 148 | results.Add(new Result("Overload", new DoubleValue()));
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| 149 | results.Add(new Result("Tardiness", new DoubleValue()));
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| 150 | }
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| 151 |
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| 152 | DataTable violationStatistics = results["ConstraintViolations"].Value as DataTable;
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| 153 |
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| 154 | double overload = Math.Round(simulation.Vehicles.Sum(v => v.Overload) * 100.0) / 100.0;
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| 155 | double tardiness = Math.Round(simulation.Orders.Sum(o => o.Tardiness) * 100.0) / 100.0;
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| 156 |
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| 157 | violationStatistics.Rows["Overload"].Values.Add(overload);
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| 158 | violationStatistics.Rows["Tardiness"].Values.Add(tardiness);
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| 159 |
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| 160 | (results["Overload"].Value as DoubleValue).Value = overload;
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| 161 | (results["Tardiness"].Value as DoubleValue).Value = tardiness;
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| 162 | }
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| 163 |
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| 164 | protected virtual void UpdateVehicleHistoryResults(PickupDeliverySimulation simulation, PickupDeliveryScenario scenario, ResultCollection results) {
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| 165 | if (!results.ContainsKey("VehicleHistory")) {
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| 166 | VehicleHistoryVisualization data = new VehicleHistoryVisualization();
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| 167 | data.ResultCollectionInterval = simulation.TimeStepParameter.Value.Value;
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| 168 | results.Add(new Result("VehicleHistory", data));
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| 169 |
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| 170 | foreach (Vehicle vehicle in simulation.Vehicles) {
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| 171 | string name = vehicle.Name;
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| 172 | if (string.IsNullOrEmpty(name))
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| 173 | name = "Vehicle " + simulation.Vehicles.IndexOf(vehicle);
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| 174 |
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| 175 | data.VehicleHistory.Add(new VehicleHistory(name));
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| 176 | }
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| 177 | }
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| 178 |
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| 179 | VehicleHistoryVisualization vehicleHistory = results["VehicleHistory"].Value as VehicleHistoryVisualization;
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| 180 | foreach (Vehicle vehicle in simulation.Vehicles) {
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| 181 | VehicleHistory history = vehicleHistory.VehicleHistory[simulation.Vehicles.IndexOf(vehicle)];
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| 182 | history.VehicleState.Add(vehicle.VehicleState);
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| 183 | history.VehicleAvailability.Add(vehicle.Availibility);
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| 184 | history.ActiveOrders.Add(simulation.Orders.FirstOrDefault(o => o.Id == vehicle.CurrentOrder));
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| 185 | history.AssignedOrders.Clear();
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| 186 | history.AssignedOrders.AddRange(simulation.Orders.Where(o => o.AssignedVehicle == vehicle.Id));
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| 187 | }
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| 188 | vehicleHistory.Refresh();
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| 189 | }
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| 190 |
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[8714] | 191 | protected virtual void UpdateTimeHistogram(PickupDeliverySimulation simulation, PickupDeliveryScenario scenario, ResultCollection results) {
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| 192 | if (!results.ContainsKey("TimeHistogram")) {
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| 193 | DataTable data = new DataTable("TimeHistogram");
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| 194 | results.Add(new Result("TimeHistogram", data));
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| 195 |
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| 196 | DataRow row = new DataRow("WaitingTime");
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| 197 | row.VisualProperties.ChartType = DataRowVisualProperties.DataRowChartType.Histogram;
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| 198 | data.Rows.Add(row);
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| 199 |
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| 200 | row = new DataRow("TransferTime");
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| 201 | row.VisualProperties.ChartType = DataRowVisualProperties.DataRowChartType.Histogram;
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| 202 | data.Rows.Add(row);
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| 203 |
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| 204 | row = new DataRow("Slack");
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| 205 | row.VisualProperties.ChartType = DataRowVisualProperties.DataRowChartType.Histogram;
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| 206 | data.Rows.Add(row);
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| 207 |
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| 208 | row = new DataRow("LeadTime");
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| 209 | row.VisualProperties.ChartType = DataRowVisualProperties.DataRowChartType.Histogram;
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| 210 | data.Rows.Add(row);
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[8777] | 211 |
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| 212 | results.Add(new Result("LeadTime", new DoubleValue()));
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[8782] | 213 |
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[8858] | 214 | results.Add(new Result("TotalTardinessPenalty", new DoubleValue()));
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[8714] | 215 | }
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| 216 |
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| 217 | DataTable timeHistogram = results["TimeHistogram"].Value.Clone() as DataTable;
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| 218 |
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| 219 | //waiting time
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| 220 | var values = timeHistogram.Rows["WaitingTime"].Values;
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| 221 | values.Clear();
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| 222 | foreach (Order order in simulation.Orders.Where(o => o.PickupTime > 0)) {
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| 223 | values.Add(order.PickupTime - order.PickupReadyTime);
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| 224 | }
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| 225 |
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| 226 | //transfer time
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| 227 | values = timeHistogram.Rows["TransferTime"].Values;
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| 228 | values.Clear();
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| 229 | foreach (Order order in simulation.Orders.Where(o => o.OrderState == OrderState.Delivered)) {
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| 230 | values.Add(order.DeliveryTime - order.PickupTime - order.PickupServiceTime);
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| 231 | }
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| 232 |
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| 233 | //slack
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| 234 | values = timeHistogram.Rows["Slack"].Values;
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| 235 | values.Clear();
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| 236 | foreach (Order order in simulation.Orders.Where(o => o.PickupTime > 0)) {
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| 237 | values.Add(order.PickupDueTime - order.PickupTime);
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| 238 | }
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| 239 |
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| 240 | //lead time
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[8777] | 241 | double leadTime = 0;
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| 242 |
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[8714] | 243 | values = timeHistogram.Rows["LeadTime"].Values;
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| 244 | values.Clear();
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| 245 | foreach (Order order in simulation.Orders.Where(o => o.OrderState == OrderState.Delivered)) {
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[8777] | 246 | double orderLeadTime = order.DeliveryTime + order.DeliveryServiceTime - order.PickupReadyTime;
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| 247 | values.Add(orderLeadTime);
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| 248 | leadTime += orderLeadTime;
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[8714] | 249 | }
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| 250 |
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[8777] | 251 | (results["LeadTime"].Value as DoubleValue).Value = leadTime;
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| 252 |
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[8714] | 253 | results["TimeHistogram"].Value = timeHistogram;
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[8782] | 254 |
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| 255 | double tardiness = 0;
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| 256 | foreach(Order o in simulation.Orders) {
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| 257 | if(o.Tardiness > 0) {
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| 258 | tardiness += Math.Min(1000000, Math.Pow((scenario.TardinessPenaltyParameter.Value.Value * Math.E), o.Tardiness) - 1.0);
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| 259 | }
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| 260 | }
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[8858] | 261 | (results["TotalTardinessPenalty"].Value as DoubleValue).Value = tardiness;
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[8714] | 262 | }
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| 263 |
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[8792] | 264 | protected virtual void UpdateSimulationTime(PickupDeliverySimulation simulation, PickupDeliveryScenario scenario, ResultCollection results) {
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| 265 | if (!results.ContainsKey("SimulationTime")) {
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| 266 | results.Add(new Result("SimulationTime", new DoubleValue()));
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| 267 | }
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| 268 |
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| 269 | (results["SimulationTime"].Value as DoubleValue).Value = simulation.SimulationTime;
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| 270 | }
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| 271 |
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[8670] | 272 | public virtual void Analyze(PickupDeliverySimulation simulation, PickupDeliveryScenario scenario, ResultCollection results) {
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[8792] | 273 | UpdateSimulationTime(simulation, scenario, results);
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[8670] | 274 | UpdateOrderResults(simulation, scenario, results);
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| 275 | UpdateVehicleResults(simulation, scenario, results);
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| 276 | UpdateConstraintViolationResults(simulation, scenario, results);
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| 277 | UpdateVehicleHistoryResults(simulation, scenario, results);
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[8714] | 278 | UpdateTimeHistogram(simulation, scenario, results);
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[8670] | 279 | }
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| 280 |
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| 281 | public virtual void Tick(PickupDeliverySimulation simulation, PickupDeliveryScenario scenario, ResultCollection results) {
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| 282 | }
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| 283 | }
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| 284 | }
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