public Task FindAlmostNearestTask(Task fromTask, List<Task> tasks, double tolerance)
        {
            int minDistance = Int32.MaxValue;
            Task minTask = null;

            foreach (Task task in tasks)
            {
                //TODO check this is correct
                if(task == fromTask)
                    continue;

                int distance = task.CostTo(fromTask);
                if (distance < minDistance && (minTask == null || _rand.Next(2) == 0))
                {
                    var adjustedDistance = (int)(distance * tolerance);
                    if (adjustedDistance < minDistance)
                    {
                        minDistance = adjustedDistance;
                    }
                    minTask = task;
                }
            }

            return minTask;
        }
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        /// <summary>
        /// Used for cloning a task
        /// </summary>
        /// <param name="task">The task to clone</param>
        public Task(Task task)
        {
            Id = task.Id;
            Coordinate = task.Coordinate;

            UserId = task.UserId;
            Time = task.Time;
            Problem = task.Problem;
        }
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        /// <summary>
        /// Create tasks for a problem from a set of coordinates
        /// </summary>
        public static List<Task> GetTasks(IEnumerable<Coordinate> coordinates, Problem problem)
        {
            var tasks = new List<Task>();
            int id = 0;
            foreach (var coordinate in coordinates)
            {
                var newTask = new Task(id, coordinate.lat, coordinate.lon) { Time = 30 * 60, Problem = problem };
                tasks.Add(newTask);
                id++;
            }

            return tasks;
        }
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        public int CostTo(Task task)
        {
            if (task == null || task == this)
            {
                //TODO add depot task, and return cost from here to there
                return 1;
            }

            if (Problem.GetCachedCost(this.Id, task.Id) == 0)
            {
                //cache the calculation in memory
                //_mDistances[task.Id] = Problem.Osrm.GetDistanceTime(new Coordinate(Lat, Lon), new Coordinate(task.Lat, task.Lon))[0];
                Problem.SetCachedCost(this.Id, task.Id, Problem.CostFunction.Calculate(this, task, true));
            }
            return Problem.GetCachedCost(this.Id, task.Id);
        }
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        public int Calculate(Task origin, Task destination, bool considerTaskTime)
        {
            if (origin == null || destination == null || origin == destination)
                return 0;

            #if DEBUG
            if (origin.Problem != destination.Problem)
                throw new System.Exception("Tasks have to belong to the same problem!");
            #endif
            // Get time & Distance
            int[] distanceTime = origin.Problem.Osrm.GetDistanceTime(origin.Coordinate, destination.Coordinate);

            // Calculate cost
            //miles / milesPerGallon * gallonGas
            var distCost = ((distanceTime[0] / 1609.34) / MilesPerGallon) * PricePerGallon;

            if (considerTaskTime)
                distanceTime[1] += (origin.Time + destination.Time)/2;

            var timeCost = (distanceTime[1] / 3600.0) * HourlyWage;
            var cost = (timeCost + distCost) * 100;

            return (int)cost;
        }
        private int FindCheapestInsert(Task t1, Task t2, IEnumerable<Task> remainingTasks, out Task newTask)
        {
            int minCost = Int32.MaxValue;
            int constantCost = t1.CostTo(t2);
            newTask = null;

            foreach (Task task in remainingTasks)
            {
                int cost = t1.CostTo(task) + task.CostTo(t2);
                if (cost < minCost)
                {
                    minCost = cost;
                    newTask = task;
                }
            }

            return minCost - constantCost;
        }
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        private int FindNearestMean(Task task)
        {
            int minDistance = Int32.MaxValue;
            int minIndex = -1;
            int index = 0;

            foreach (Task mean in _means)
            {
                int cost = task.Problem.CostFunction.Calculate(task, mean, false);
                if (cost < minDistance)
                {
                    minIndex = index;
                    minDistance = cost;
                }

                index++;
            }

            return minIndex;
        }
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        private void ConfigureCrossoverData()
        {
            int maxTasks = _tasks.Count;

            if (_crossoverAddedTasks != null && _crossoverAddedTasks.Length >= maxTasks)
            {
                // enough space!
                return;
            }

            _crossoverAddedTasks = new bool[maxTasks];
            _crossoverTaskNeighborMatrix = new bool[maxTasks][];
            _crossoverTaskNeighbors = new Task[maxTasks][];
            _crossoverTaskNeighborCount = new int[maxTasks];
            for (int t = 0; t < maxTasks; t++)
            {
                _crossoverTaskNeighborMatrix[t] = new bool[maxTasks];
                _crossoverTaskNeighbors[t] = new Task[4];
            }
        }