public IActionResult GenerateRandomState(int dim, int populationSize, int elitism, int crossoverProb, int mutationProb, int nmbrGenerations)
{
int[][] Array = (_IFunctions.GenerateArray(dim));
GeneticVM VM = new GeneticVM()
{
array = _IFunctions.array2Dto1D(Array, dim),
dimension = dim,
heuristic = _IFunctions.Heuristic(Array, dim),
crossoverProb = crossoverProb,
elitism = elitism,
mutationProb = mutationProb,
nmbrGenerations = nmbrGenerations,
populationSize = populationSize,
dimensions = new List <SelectListItem>()
{
new SelectListItem {
Text = "4x4", Value = "4"
},
new SelectListItem {
Text = "5x5", Value = "5"
},
new SelectListItem {
Text = "6x6", Value = "6"
},
new SelectListItem {
Text = "7x7", Value = "7"
},
new SelectListItem {
Text = "8x8", Value = "8"
},
new SelectListItem {
Text = "9x9", Value = "9"
},
new SelectListItem {
Text = "10x10", Value = "10"
},
new SelectListItem {
Text = "11x11", Value = "11"
},
new SelectListItem {
Text = "12x12", Value = "12"
},
}
};
return(View("Index", VM));
}
public IActionResult GenerateRandomState(int dim, int states, int maxCounter)
{
int[][] array = _IFunctions.GenerateArray(dim);
LocalBeamSearchVM VM = new LocalBeamSearchVM()
{
array = _IFunctions.array2Dto1D(array, dim),
dimension = dim,
heuristic = _IFunctions.Heuristic(array, dim),
nmbrStates = states,
maxCounter = maxCounter,
dimensions = new List <SelectListItem>()
{
new SelectListItem {
Text = "4x4", Value = "4"
},
new SelectListItem {
Text = "5x5", Value = "5"
},
new SelectListItem {
Text = "6x6", Value = "6"
},
new SelectListItem {
Text = "7x7", Value = "7"
},
new SelectListItem {
Text = "8x8", Value = "8"
},
new SelectListItem {
Text = "9x9", Value = "9"
},
new SelectListItem {
Text = "10x10", Value = "10"
},
new SelectListItem {
Text = "11x11", Value = "11"
},
new SelectListItem {
Text = "12x12", Value = "12"
},
},
};
return(View("Index", VM));
}
public IActionResult GenerateRandomState(int dim, int T0, int coolingFactor)
{
int[][] array = _IFunctions.GenerateArray(dim);
SimulatedAnealingVM VM = new SimulatedAnealingVM()
{
array = _IFunctions.array2Dto1D(array, dim),
dimension = dim,
heuristic = _IFunctions.Heuristic(array, dim),
T0 = T0,
coolingFactor = coolingFactor,
dimensions = new List <SelectListItem>()
{
new SelectListItem {
Text = "4x4", Value = "4"
},
new SelectListItem {
Text = "5x5", Value = "5"
},
new SelectListItem {
Text = "6x6", Value = "6"
},
new SelectListItem {
Text = "7x7", Value = "7"
},
new SelectListItem {
Text = "8x8", Value = "8"
},
new SelectListItem {
Text = "9x9", Value = "9"
},
new SelectListItem {
Text = "10x10", Value = "10"
},
new SelectListItem {
Text = "11x11", Value = "11"
},
new SelectListItem {
Text = "12x12", Value = "12"
},
}
};
return(View("Index", VM));
}
public IActionResult GenerateRandomState(int dim, int stepsInSameState)
{
int[][] array = _IFunctions.GenerateArray(dim); //Generates random state
HillClimbingVM VM = new HillClimbingVM()
{
array = _IFunctions.array2Dto1D(array, dim),
dimension = dim,
heuristic = _IFunctions.Heuristic(array, dim), //Heuristic function calculates heuristic of this array
stepsInSameState = stepsInSameState,
dimensions = new List <SelectListItem>()
{
new SelectListItem {
Text = "4x4", Value = "4"
},
new SelectListItem {
Text = "5x5", Value = "5"
},
new SelectListItem {
Text = "6x6", Value = "6"
},
new SelectListItem {
Text = "7x7", Value = "7"
},
new SelectListItem {
Text = "8x8", Value = "8"
},
new SelectListItem {
Text = "9x9", Value = "9"
},
new SelectListItem {
Text = "10x10", Value = "10"
},
new SelectListItem {
Text = "11x11", Value = "11"
},
new SelectListItem {
Text = "12x12", Value = "12"
},
},
};
return(View("Index", VM));
}