Back to: Artificial Intelligence Computer Science
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Aim: Implement Breadth first search algorithm for Romanian map problem.
Code:
dict_hn={'Arad':336,'Bucharest':0,'Craiova':160,'Drobeta':242,'Eforie':161,
'Fagaras':176,'Giurgiu':77,'Hirsova':151,'Iasi':226,'Lugoj':244,
'Mehadia':241,'Neamt':234,'Oradea':380,'Pitesti':100,'Rimnicu':193,
'Sibiu':253,'Timisoara':329,'Urziceni':80,'Vaslui':199,'Zerind':374}
dict_gn=dict(
Arad=dict(Zerind=75,Timisoara=118,Sibiu=140),
Bucharest=dict(Urziceni=85,Giurgiu=90,Pitesti=101,Fagaras=211),
Craiova=dict(Drobeta=120,Pitesti=138,Rimnicu=146),
Drobeta=dict(Mehadia=75,Craiova=120),
Eforie=dict(Hirsova=86),
Fagaras=dict(Sibiu=99,Bucharest=211),
Giurgiu=dict(Bucharest=90),
Hirsova=dict(Eforie=86,Urziceni=98),
Iasi=dict(Neamt=87,Vaslui=92),
Lugoj=dict(Mehadia=70,Timisoara=111),
Mehadia=dict(Lugoj=70,Drobeta=75),
Neamt=dict(Iasi=87),
Oradea=dict(Zerind=71,Sibiu=151),
Pitesti=dict(Rimnicu=97,Bucharest=101,Craiova=138),
Rimnicu=dict(Sibiu=80,Pitesti=97,Craiova=146),
Sibiu=dict(Rimnicu=80,Fagaras=99,Arad=140,Oradea=151),
Timisoara=dict(Lugoj=111,Arad=118),
Urziceni=dict(Bucharest=85,Hirsova=98,Vaslui=142),
Vaslui=dict(Iasi=92,Urziceni=142),
Zerind=dict(Oradea=71,Arad=75)
)
import queue as Q
#from RMP import dict_hn
start='Arad'
goal='Bucharest'
result=''
def BFS(city, cityq, visitedq):
global result
if city==start:
result=result+' '+city
for eachcity in dict_gn[city].keys():
if eachcity==goal:
result=result+' '+eachcity
return
if eachcity not in cityq.queue and eachcity not in visitedq.queue:
cityq.put(eachcity)
result=result+' '+eachcity
visitedq.put(city)
BFS(cityq.get(),cityq,visitedq)
def main():
cityq=Q.Queue()
visitedq=Q.Queue()
BFS(start, cityq, visitedq)
print("BFS Traversal from ",start," to ",goal," is: ")
print(result)
main()
Output:
BFS Traversal from Arad to Bucharest is:
Arad Timisoara Zerind Sibiu Lugoj Oradea Fagaras Rimnicu Mehadia Bucharest