public static double GetScore(Order order, Warehouse warehouse, Drone drone, ProblemInput input)
{
var weight = 0;
var numberOfProducts = 0;
foreach (var product in order.ProductsInOrder)
{
var count = Math.Min(product.Value, warehouse.NumberOfItemsForProduct[product.Key]);
count = Math.Min(count, (input.MaxDrownLoad - weight) / input.Products[product.Key].Weight);
weight += count * input.Products[product.Key].Weight;
if (count > 0)
{
numberOfProducts++;
}
}
var denom = drone.CurrentPosition.CalcEucledianDistance(warehouse.Coordinate) +
warehouse.Coordinate.CalcEucledianDistance(order.Coordinate) + drone.CurrentTime + numberOfProducts;
return(denom);
}
public static List <Order> OrderOrders(ProblemInput input, List <Drone> drones)
{
return(input.Orders.Select(_ => _.Clone()).Where(NotCompleted).OrderBy(order =>
{
Warehouse bestWarehouse = null;
Drone bestDrone = null;
var bestScore = double.MinValue;
foreach (var warehouse in input.Warehouses)
{
foreach (var drone in drones)
{
var score = GetScore(order, warehouse, drone, input);
if (score > bestScore)
{
bestDrone = drone;
bestWarehouse = warehouse;
bestScore = score;
}
}
}
// HandleOrder(bestWarehouse, bestDrone, order, input, output);
return bestScore;
//int numOfUsedDrones = 0;
//MatrixCoordinate coordinate = new MatrixCoordinate();
//foreach (var product in order.ProductsInOrder)
//{
// double dronesForProducts = (product.Value * input.Products[product.Key].Weight) / input.MaxDrownLoad;
// numOfUsedDrones += (int)Math.Ceiling(dronesForProducts);
// coordinate.CalcEucledianDistance(order.Coordinate);
//}
//return numOfUsedDrones;
}).ToList());
}
