def __init__(self):
AlgConfig.__init__(self)
#Maximum number of elements in parallel
self.pmax = 4
#Parameter that controls the relative weight of the pheromone
#Use in the transition between subsystem-node and count-components-in-subsystem-node
self.alpha1 = 0.1
#Parameter thaht control the relative weight ot the pheromone
#Use in the transition between count-components-in-subsystem-node and version-node
self.alpha2 = 0.5
#Parameter that control the local heuristic - version heuristic
self.beta = 1
#Use in pheromone update. Coefficient in front of old pheromone-value
self.ro = 0.9
#Use in pheromone update. Coefficient in delta-pheromone-value
self.Q = 0.01
#Use in pheromone update. Use in delta-pheromone-value calculation. Coefficient in penalty
self.a = 1
#Use in pheromone update. Use in delta-pheromone-value calculation. Coefficient in penalty
self.b = 10
#Initial pheromone-value on the edges
self.pheromone0 = 1.0
#Step in degraded ceiling algorithm
self.localSearchStep = 0.0001
#Good solution affinity
self.affinity = 0.01
#Amount of the ants
self.antCounts = 50
#ACO/DC algorithm maximum iteration
self.maxIter = 300
#Maximum iterations without changes in degraded ceiling algorithm
self.dcMaxIterWithoutChange = 100
def __init__(self):
AlgConfig.__init__(self)
self.popNum = 30
self.maxIter = 30
self.crossPercent = GAParameter(0.7, 0.8, 0.9)
self.Pcross = GAParameter(0.5, 0.75, 1.0)
self.mutPercent = GAParameter(0.7, 0.8, 0.9)
self.Pmut = GAParameter(0.5, 0.75, 0.9)
def __init__(self):
AlgConfig.__init__(self)
self.popNum = 30
self.maxIter = 30
self.crossPercent = GAParameter(0.7, 0.8, 0.9)
self.Pcross = GAParameter(0.5, 0.75, 1.0)
self.mutPercent = GAParameter(0.7, 0.8, 0.9)
self.Pmut = GAParameter(0.5, 0.75, 0.9)
def Run(self):
if self.sysconfig == None:
QMessageBox.critical(self, "An error occurred",
"System configuration must be defined")
return
Module.conf = self.sysconfig
if self.constraints == None:
QMessageBox.critical(self, "An error occurred",
"Constraints must be defined")
return
System.constraints = self.constraints
if self.algconfig == None and self.ui.algorithm.currentIndex() < 2:
QMessageBox.critical(self, "An error occurred",
"Algorithm configuration must be defined")
return
Algorithm.algconf = self.algconfig
if Algorithm.algconf == None:
Algorithm.algconf = AlgConfig()
algidx = self.ui.algorithm.currentIndex()
if algidx == 0:
algorithm = GA()
elif algidx == 1:
algorithm = HGA()
elif algidx == 2:
algorithm = GA_optimistic()
elif algidx == 3:
algorithm = GA_optimistic_left()
elif algidx == 4:
algorithm = GA_Moore()
elif algidx == 5:
algorithm = HGA_Moore()
Algorithm.result_filename = self.ui.result_filename.text()
for i in range(self.ui.execNum.value()):
if algorithm.algconf.metamodel:
algorithm.algconf.metamodel.Clear()
algorithm.Run()
self.best = algorithm.currentSolution
algorithm.PrintStats()
try:
os.remove("sch" + str(os.getpid()) + ".xml")
os.remove("res" + str(os.getpid()) + ".xml")
except:
pass
def LoadFromXmlNode(self, node):
AlgConfig.LoadFromXmlNode(self, node)
self.popNum = int(node.getAttribute("popsize"))
self.maxIter = int(node.getAttribute("maxiter"))
type = node.getAttribute("type")
for p in node.getElementsByTagName("par"):
name = p.getAttribute("name")
norm = float(p.getAttribute("norm"))
if type == "hga":
min = float(p.getAttribute("min"))
max = float(p.getAttribute("max"))
par = GAParameter(min, norm, max)
else:
par = GAParameter(None, norm, None)
if name == "crosspercent":
self.crossPercent = par
elif name == "crossprob":
self.Pcross = par
elif name == "mutpercent":
self.mutPercent = par
elif name == "mutprob":
self.Pmut = par