def Sniff(self):
" Looks for the next place to go "
DirectionToTarget = cmath.phase(t2c(self.Target) - t2c(self.location)) # argument
DirectionToTarget = ET.noise_add(DirectionToTarget, 0.02*cmath.pi * Gbl.Parameter('Noise'))
# Distance0 = abs(DirectionToTarget)
Neighbourhood = Land.neighbours(self.location, Gbl.Parameter('SniffingDistance'))
random.shuffle(Neighbourhood) # to avoid anisotropy
acceptable = None
best = -Gbl.Parameter('Saturation') # best == pheromone balance found so far
for NewPos in Neighbourhood:
if NewPos == self.location: continue
# Target attractiveness
Direction = cmath.phase(t2c(NewPos) - t2c(self.location))
Value = Gbl.Parameter('TargetAttractiveness') * abs(cmath.pi - abs(DirectionToTarget - Direction))
# looking for position with pheromone
# attractiveness of pheromone
Value += Gbl.Parameter('PheromoneAttractiveness') * float(Land.pheromone(NewPos)) / Gbl.Parameter('Saturation')
# Value += Gbl.Parameter('PheromoneAttractiveness') * (Land.pheromone(NewPos))
# aversion to climbing
Value -= Gbl.Parameter('SlopeAversion') * abs(Land.Altitude(NewPos) - Land.Altitude(self.location))
if Value > best:
acceptable = NewPos
best = Value
return acceptable
def Sniff(self):
" Looks for the next place to go "
DirectionToTarget = cmath.phase(t2c(self.Target) - t2c(self.location)) # argument
DirectionToTarget = ET.noise_add(DirectionToTarget, 0.02*cmath.pi * Gbl.Parameter('Noise'))
# Distance0 = abs(DirectionToTarget)
Neighbourhood = list(Land.neighbours(self.location, Gbl.Parameter('SniffingDistance')))
random.shuffle(Neighbourhood) # to avoid anisotropy
acceptable = None
best = -Gbl.Parameter('Saturation') # best == pheromone balance found so far
for NewPos in Neighbourhood:
if NewPos == self.location: continue
# Target attractiveness
Direction = cmath.phase(t2c(NewPos) - t2c(self.location))
Value = Gbl.Parameter('TargetAttractiveness') * abs(cmath.pi - abs(DirectionToTarget - Direction))
# looking for position with pheromone
# attractiveness of pheromone
Value += Gbl.Parameter('PheromoneAttractiveness') * float(Land.pheromone(NewPos)) / Gbl.Parameter('Saturation')
# Value += Gbl.Parameter('PheromoneAttractiveness') * (Land.pheromone(NewPos))
# aversion to climbing
Value -= Gbl.Parameter('SlopeAversion') * abs(Land.Altitude(NewPos) - Land.Altitude(self.location))
if Value > best:
acceptable = NewPos
best = Value
return acceptable
