public Optimization ToOptimization(bool suggestion = false)
{
string unoptimalReason;
switch(Quality)
{
case RawQuality.Infeasible:
case RawQuality.Unbounded:
if(suggestion)
unoptimalReason = "Suggestions could not be generated for this network, as"
+ " the suggestion generation system could not find an optimal solution.";
else
unoptimalReason = "This network is not solvable. Check orders for correctness."
+ "<br /><br />If infrastructure improvements make the network solvable,"
+ " the Suggestions tab below lists possibilities.";
break;
case RawQuality.TimedOut:
if(suggestion)
unoptimalReason = "Suggestions could not be generated for this network in "
+ "less than the maximum of " + OptimizationEngine.TIMEOUT_MAX_SECONDS*2
+ " seconds. ";
else
unoptimalReason = "This network could not be solved in less than the maximum of "
+ OptimizationEngine.TIMEOUT_MAX_SECONDS*2
+ " seconds. ";
unoptimalReason += "<br /><br />Reduce the complexity of the network by deleting network "
+ " elements or contact an administrator to allow longer timeouts.";
break;
default:
unoptimalReason = null;
break;
}
var o = new Optimization()
{
OptimizedNetwork = solvedNetwork,
TotalCost = totalCost,
TotalRevenue = (int)solvedNetwork.Orders.Sum(or => or.Revenue * or.Cars),
Optimal = Quality == RawQuality.Solved,
UnoptimalMessage = unoptimalReason
};
bool setZero = Quality != RawQuality.Solved;
o.Nodes = solvedNetwork.Nodes.Select(n => { var no = new NodeOptimized()
{
Node = n,
FlowIn = setZero ? 0 : flowDecisions.Sum(
v => v.Value.Sum(
l => l.Key.To == n ? l.Value : 0
)
),
FlowOut = setZero ? 0 : flowDecisions.Sum(
v => v.Value.Sum(
l => l.Key.From == n ? l.Value : 0
)
),
};
return no; }).ToList();
o.Links = solvedNetwork.Links.Select(l => { var lo = new LinkOptimized()
{
Link = l,
Flow = setZero ? 0 : flowDecisions.Sum(
v => v.Value.Sum(
l2 => l2.Key == l ? l2.Value : 0
)
),
CurrentTrains = setZero ? 0 : locomotiveDecisions[l]
};
return lo; }).ToList();
return o;
}
public static void SetFrom(this Network net, Optimization oOpt)
{
if(net.OptimizationResult == null)
net.OptimizationResult = oOpt;
else
{
var nOpt = net.OptimizationResult;
foreach(var node in nOpt.Nodes)
{
var oNode = oOpt.Nodes.FirstOrDefault(no => no.Node == node.Node);
node.FlowIn = oNode.FlowIn;
node.FlowOut = oNode.FlowOut;
}
foreach(var link in nOpt.Links)
{
var oLink = oOpt.Links.FirstOrDefault(lo => lo.Link == link.Link);
link.Flow = oLink.Flow;
link.CurrentTrains = oLink.CurrentTrains;
}
nOpt.Optimal = oOpt.Optimal;
nOpt.UnoptimalMessage = oOpt.UnoptimalMessage;
nOpt.TotalCost = oOpt.TotalCost;
nOpt.TotalRevenue = oOpt.TotalRevenue;
}
}