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modify bfs connectivity

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Alexander Bocken 2023-06-28 15:30:14 +02:00
parent c4ee305256
commit 0465481ff6
Signed by: Alexander
GPG Key ID: 1D237BE83F9B05E8
1 changed files with 15 additions and 15 deletions
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model.py
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@ -156,15 +156,14 @@ class ActiveWalkerModel(Model):
def bfs(self): def bfs(self):
threshold = 0.0000001 #the value of A threshold = 0.0000001 #the value of A
connectivity = 0 #initial value of connectivity connectivity = 0 #initial value of connectivity
connected_food_sources = list() #empty list of connected food sources connected_food_sources = [] #empty list of connected food sources
visited = list() #empty list of visited (by the algorithm) nodes visited = [] #empty list of visited (by the algorithm) nodes
nest = np.argwhere(self.grid.fields["nests"] == 1) #get nest location nest = np.argwhere(self.grid.fields["nests"] == 1) #get nest location
nest = nest[0].tolist() #transforming not to have type errors nest = (nest[0][0], nest[0][1])
nest = tuple(nest) #transforming not to have type errors
start_node = nest #rename start_node = nest #rename
neighbours_to_check = list([start_node]) #start node gets checked first neighbours_to_check = [start_node] #start node gets checked first
neighbours_to_check = neighbours_to_check + self.grid.get_neighborhood(start_node) #start node neighbours get added to the to check list neighbours_to_check = neighbours_to_check + self.grid.get_neighborhood(start_node) #start node neighbours get added to the to check list
while neighbours_to_check: #as long as there is something on the to check list while neighbours_to_check: #as long as there is something on the to check list
@ -172,19 +171,19 @@ class ActiveWalkerModel(Model):
del neighbours_to_check[0] #and deleted on the to check list del neighbours_to_check[0] #and deleted on the to check list
if current_node not in visited: #if it has not previously been checked if current_node not in visited: #if it has not previously been checked
if self.grid.fields["A"][current_node] >= threshold: #and its A value is above our threshold if np.max([self.grid.fields["B"][current_node], self.grid.fields["A"][current_node]]) >= threshold: #and its A value is above our threshold
new_neighbors = self.grid.get_neighborhood(current_node) #then we get its neighbours new_neighbors = self.grid.get_neighborhood(current_node) #then we get its neighbours
if new_neighbors not in visited: #if they have not yet been visited for new_neighbor in new_neighbors:
neighbours_to_check = neighbours_to_check + new_neighbors #then they are also added to our to check list if new_neighbor not in visited and new_neighbor not in neighbours_to_check:
visited = visited + list([current_node]) #and the current node has now been checked neighbours_to_check.append(new_neighbor) #then they are also added to our to check list
visited.append(current_node) #and the current node has now been checked
neighbours_to_check = list(dict.fromkeys(neighbours_to_check)) #only check nodes once (unique values)
if self.grid.fields["food"][current_node] > 0: #in case the node we check is food if self.grid.fields["food"][current_node] > 0: #in case the node we check is food
connectivity += 1 #then we have found a connected path to a food source connectivity += 1 #then we have found a connected path to a food source
connected_food_sources = connected_food_sources + list([current_node]) #and it is added to the list of connected food sources connected_food_sources = connected_food_sources + list([current_node]) #and it is added to the list of connected food sources
# why not normalize to 0-1 ? # why not normalize to 0-1 ?
print(f"{connectivity=}")
return connectivity #we want the connectivity (0-5) return connectivity #we want the connectivity (0-5)
def agent_density(self): def agent_density(self):
@ -197,7 +196,8 @@ class ActiveWalkerModel(Model):
def step(self): def step(self):
self.schedule.step() # step() and advance() all agents self.schedule.step() # step() and advance() all agents
self.connectivity = self.bfs(self) if self.schedule.steps % 100 == 0:
self.connectivity = self.bfs()
# apply decay rate on pheromone levels # apply decay rate on pheromone levels
for key in ("A", "B"): for key in ("A", "B"):