/// <inheritdoc/>
public AlgorithmOutput FindSolution(AlgorithmInput input)
{
var machines = input.Machines.ToList();
var jobs = input.Jobs.OrderByDescending(x => x.Duration).ToList();
var machinesHeap = new Heap <int, MachineJobs>(HeapType.Min, machines.Count);
foreach (var machine in machines)
{
machinesHeap.Insert(new Structures.ComparableElement <int, MachineJobs> {
Key = 0, Value = new MachineJobs(machine)
});
}
foreach (var job in jobs)
{
var leastLoaded = machinesHeap.Extract();
leastLoaded.Value.AddJob(job);
leastLoaded.Key = leastLoaded.Value.Makespan;
machinesHeap.Insert(leastLoaded);
}
return(new AlgorithmOutput
{
Makespan = machinesHeap.Values.Max(x => x.Makespan),
Assignments = machinesHeap.Values.Select(x => new { Assignments = x.Jobs.Select(y => new Assignment {
Job = y, Machine = x.Machine
}) }).SelectMany(x => x.Assignments)
});
}
private double GetSystemScore(AlgorithmInput input, AlgorithmResult result)
{
var inputStatistics = Statistics.FromUnmanagedImage(input.Image);
var outputStatistics = Statistics.FromUnmanagedImage(result.Image);
double inputScore = inputStatistics.GetContrastMeasure();
double resultScore = outputStatistics.GetContrastMeasure();
double finalScore = resultScore/inputScore;
return finalScore;
}
public void GreedyMaxCoverageTest(IEnumerable <int[]> sets, int count, int expected)
{
var algorithm = new GreedyMaxCoverageAlgorithm();
var input = new AlgorithmInput
{
Sets = sets,
UsedSetsCount = count
};
var output = algorithm.FindSolution(input);
output.Count.Should().Be(expected);
}
private double GetSystemScore(AlgorithmInput input, AlgorithmResult result)
{
var inputStatistics = Statistics.FromUnmanagedImage(input.Image);
var outputStatistics = Statistics.FromUnmanagedImage(result.Image);
double inputScore = inputStatistics.GetContrastMeasure();
double resultScore = outputStatistics.GetContrastMeasure();
double finalScore = resultScore / inputScore;
return(finalScore);
}
public void GrahamTest(int[] jobs, int machinesCount, int expectedMakespan)
{
var algorithm = new GrahamAlgorithm();
var input = new AlgorithmInput
{
Jobs = jobs.Select((x, index) => new Job {
Id = index + 1, Duration = x
}),
Machines = Enumerable.Range(0, machinesCount).Select((x, index) => new Machine {
Id = index
})
};
var output = algorithm.FindSolution(input);
output.Makespan.Should().Be(expectedMakespan);
}
public void ExecuteBeforeEveryTest()
{
_algorithmSequenceDataProvider = new AlgorithmSequenceDataProvider();
_resultData = new AlgorithmInput()
{
SquadSize = 2,
AvgChecking = 30,
AvgShooting = 66,
AvgSkating = 48,
BenchSize = 1,
InitialDeviation = 0.75,
NumberOfPlayers = 5,
NumberOfSquads = 2
};
}
/// <inheritdoc/>
public AlgorithmOutput FindSolution(AlgorithmInput input)
{
var sets = input.Sets.ToList();
if (sets.Count < input.UsedSetsCount)
{
throw new ArgumentException("Invalid UsedSetsCount value", nameof(input.UsedSetsCount));
}
var setElements = new HashSet <int>();
var usedSets = new List <int[]>();
for (var i = 0; i < input.UsedSetsCount; ++i)
{
var bestSetIndex = -1;
var bestAddingElements = Array.Empty <int>();
for (var j = 0; j < sets.Count; ++j)
{
var set = sets[j];
var tempAddingElements = set.Where(x => !setElements.Contains(x)).ToArray();
if (tempAddingElements.Length <= bestAddingElements.Length)
{
continue;
}
bestAddingElements = tempAddingElements;
bestSetIndex = j;
}
if (bestSetIndex == -1)
{
break;
}
foreach (var adding in bestAddingElements)
{
setElements.Add(adding);
}
usedSets.Add(sets[bestSetIndex]);
sets.RemoveAt(bestSetIndex);
}
return(new AlgorithmOutput
{
Count = setElements.Count,
UsedSets = usedSets
});
}
public ActionResult HtmlInput(AlgorithmInput data)
{
_creator.InputData(data.GenerateAlgoritmInput());
var antColonyAlgorithm = _creator.CreateAcAlgorithm();
antColonyAlgorithm.Run();
var result = antColonyAlgorithm.Result();
using (var reader = new StreamReader(result))
{
ViewData["result"] = reader.ReadToEnd();
}
var dbModel = _creator.CreateDbModel();
var dbResult = new AntColonyResult { Result = ViewData["result"].ToString() };
_antColonyModelRep.Add(dbModel);
dbModel = _antColonyModelRep.GetAll().Last();
dbResult.ModelId = dbModel.ModelId;
_antColonyResultRep.Add(dbResult);
return View("Result");
}
public void ExecuteBeforeEveryTest()
{
_internalModelDataProvider = new AlgorithmInputProvider();
_testlist = new List <SquadPlayer>()
{
new SquadPlayer()
{
Id = "1", Name = "Sam Smith", Checking = 20, Shooting = 35, Skating = 50
},
new SquadPlayer()
{
Id = "2", Name = "Sasa Trkulja", Checking = 50, Shooting = 90, Skating = 45
},
new SquadPlayer()
{
Id = "3", Name = "Teddy Trkulja", Checking = 20, Shooting = 25, Skating = 50
},
new SquadPlayer()
{
Id = "4", Name = "Adam Trkulja", Checking = 40, Shooting = 80, Skating = 25
},
new SquadPlayer()
{
Id = "5", Name = "Sandra Trkulja", Checking = 20, Shooting = 100, Skating = 70
}
};
_resultData = new AlgorithmInput()
{
SquadSize = 2,
AvgChecking = 30,
AvgShooting = 66,
AvgSkating = 48,
BenchSize = 1,
InitialDeviation = 0.75,
NumberOfPlayers = 5,
NumberOfSquads = 2
};
}
private void SetAlgorithmInput()
{
algorithmInput = new AlgorithmInput
{
Time = 10,
People = new List <Person>()
};
for (int i = 0; i < 100; i++)
{
int from;
int to;
double eventP = r.NextDouble();
if (eventP <= 0.25)
{
from = 3;
while (true)
{
to = r.Next(0, 20);
if (to != from)
{
break;//保证to和from不同
}
}
}
else if (eventP <= 0.5)
{
to = 3;
while (true)
{
from = r.Next(0, 20);
if (to != from)
{
break;//保证to和from不同
}
}
}
else
{
from = r.Next(0, 20);
while (true)
{
to = r.Next(0, 20);
if (to != from)
{
break;//保证to和from不同
}
}
}
for (int j = 0; j < r.Next(1, 6); j++)
{
Person p = new Person
{
from_floor = from,
current_floor = from,
come_time = i * 5 + 1,
to_floor = to
};
algorithmInput.People.Add(p);
//algorithmInput.People[i * 3 + j] = p;
}
}
}
public void ProvideInternalModelDataInitialDeviationTest()
{
AlgorithmInput _internalModelData = _internalModelDataProvider.ProvideAlgorithmInput(2, _testlist);
Assert.AreEqual(_resultData.InitialDeviation, _internalModelData.InitialDeviation);
}
public void ProvideInternalModelDataBenchSizeTest()
{
AlgorithmInput _internalModelData = _internalModelDataProvider.ProvideAlgorithmInput(2, _testlist);
Assert.AreEqual(_resultData.BenchSize, _internalModelData.BenchSize);
}
public void ProvideInternalModelDataNumberOfPlayersTest()
{
AlgorithmInput _internalModelData = _internalModelDataProvider.ProvideAlgorithmInput(2, _testlist);
Assert.AreEqual(_resultData.NumberOfPlayers, _internalModelData.NumberOfPlayers);
}
public void ProvideInternalModelDataAvgSkatingTest()
{
AlgorithmInput _internalModelData = _internalModelDataProvider.ProvideAlgorithmInput(2, _testlist);
Assert.AreEqual(_resultData.AvgSkating, _internalModelData.AvgSkating);
}
public void ProvideInternalModelDataAvgAproxShoTest()
{
AlgorithmInput _internalModelData = _internalModelDataProvider.ProvideAlgorithmInput(2, _testlist);
Assert.AreEqual(0, _internalModelData.AvgAproxSho);
}
public void ExecuteBeforeEveryTest()
{
testAlgorithmInput = new AlgorithmInput()
{
SquadSize = 2,
AvgChecking = 64,
AvgShooting = 65,
AvgSkating = 78,
BenchSize = 1,
InitialDeviation = 5,
NumberOfPlayers = 5,
NumberOfSquads = 2,
AvgAproxChe = -5,
AvgAproxSho = -5,
AvgAproxSka = -5
};
testPlayerList = new List <SquadPlayer>()
{
new SquadPlayer()
{
Id = "1", Name = "Alex Carney", Checking = 92, Shooting = 98, Skating = 90
},
new SquadPlayer()
{
Id = "2", Name = "Bob Smith", Checking = 50, Shooting = 60, Skating = 80
},
new SquadPlayer()
{
Id = "3", Name = "Roy Talbot", Checking = 20, Shooting = 85, Skating = 60
},
new SquadPlayer()
{
Id = "4", Name = "Jill White", Checking = 60, Shooting = 90, Skating = 70
},
new SquadPlayer()
{
Id = "5", Name = "Jennifer Wu", Checking = 100, Shooting = 55, Skating = 94
}
};
testAsdList = new List <AlgDynamicSequenceModel>()
{
new AlgDynamicSequenceModel()
{
Average = 64, Deviation = 10, ItterationOrder = 0, Name = "Checking", AvgAprox = -5, SquadSize = 2
},
new AlgDynamicSequenceModel()
{
Average = 65, Deviation = 10, ItterationOrder = 1, Name = "Shooting", AvgAprox = -5, SquadSize = 2
},
new AlgDynamicSequenceModel()
{
Average = 78, Deviation = 10, ItterationOrder = 2, Name = "Skating", AvgAprox = -5, SquadSize = 2
}
};
_squadsProvider = new SquadsProvider();
testAlgorithmInput.SequenceData = testAsdList;
testAlgorithmInput.AllPlayers = testPlayerList;
}
