コード例 #1
0
def solve_and_print(problem):
    depth_first = search.depth_first_graph_search(problem)
    breadth_first = search.breadth_first_graph_search(problem)
    branch_and_bound = search.bab(problem)
    subestimation = search.subBAB(problem)
    print("==================== %s ====================" %
          (problem.problem_title()))
    print('Busqueda en profundidad: \n', depth_first["solution"].path())
    print('- Nodos visitados: %d\n- Nodos generados %d' %
          (depth_first["visited_nodes"], depth_first["generated_nodes"]))
    print('Busqueda en anchura: \n', breadth_first["solution"].path())
    print('- Nodos visitados: %d\n- Nodos generados %d' %
          (breadth_first["visited_nodes"], breadth_first["generated_nodes"]))
    print('Branch & Bound: \n', branch_and_bound["solution"].path())
    print('- Nodos visitados: %d\n- Nodos generados %d' %
          (branch_and_bound["visited_nodes"],
           branch_and_bound["generated_nodes"]))
    print('Branch & Bound (subestimation): \n',
          subestimation["solution"].path())
    print('- Nodos visitados: %d\n- Nodos generados %d' %
          (subestimation["visited_nodes"], subestimation["generated_nodes"]))
コード例 #2
0
ファイル: run.py プロジェクト: RaulLozanoPonce/WaySearch
# Search methods

import search

ab = search.GPSProblem('A', 'B', search.romania)
print("A - B")
print("Breadth first")
print(search.breadth_first_graph_search(ab))
print("Depth first")
print(search.depth_first_graph_search(ab))
print("Branch and Bound")
print(search.bab(ab))
print("Branch and Bound (subestimation)")
print(search.ras(ab))
print()

oe = search.GPSProblem('O', 'E', search.romania)
print("O - E")
print("Breadth first")
print(search.breadth_first_graph_search(oe))
print("Depth first")
print(search.depth_first_graph_search(oe))
print("Branch and Bound")
print(search.bab(oe))
print("Branch and Bound (subestimation)")
print(search.ras(oe))
print()

pz = search.GPSProblem('P', 'Z', search.romania)
print("P - Z")
print("Breadth first")
コード例 #3
0
# Search methods

import search

ab = search.GPSProblem('S', 'P', search.romania)

print('Búsqueda anchura')
print(search.breadth_first_graph_search(ab).path())
print('>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>')
print('Búsqueda profundidad')
print(search.depth_first_graph_search(ab).path())
print('>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>')
print('Rafimifación y salto')
print(search.bab(ab).path())
print('>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>')
print('Rafimifación y salto con Subestimacion')
print(search.babSub(ab).path())

# Result:
# [<Node B>, <Node P>, <Node R>, <Node S>, <Node A>] : 101 + 97 + 80 + 140 = 418
# [<Node B>, <Node F>, <Node S>, <Node A>] : 211 + 99 + 140 = 450
コード例 #4
0
ファイル: run.py プロジェクト: shaedmg/Graph-Search
# Search methods

import search

ab = search.GPSProblem('A', 'B', search.romania)
az = search.GPSProblem('A', 'Z', search.romania)
ad = search.GPSProblem('A', 'D', search.romania)
asa = search.GPSProblem('A', 'S', search.romania)
ag = search.GPSProblem('A', 'G', search.romania)

#print(search.breadth_first_graph_search(ab).path())
#print(search.depth_first_graph_search(ab).path())
print("Ramificacion y acotacion sin subestimacion", search.bab(ab).path())
print("Ramificacion y acotacion con subestimacion", search.heur(ab).path())
print("Ramificacion y acotacion sin subestimacion", search.bab(az).path())
print("Ramificacion y acotacion con subestimacion", search.heur(az).path())
print("Ramificacion y acotacion sin subestimacion", search.bab(ad).path())
print("Ramificacion y acotacion con subestimacion", search.heur(ad).path())
print("Ramificacion y acotacion sin subestimacion", search.bab(asa).path())
print("Ramificacion y acotacion con subestimacion", search.heur(asa).path())
print("Ramificacion y acotacion sin subestimacion", search.bab(ag).path())
print("Ramificacion y acotacion con subestimacion", search.heur(ag).path())

# Result:
# [<Node B>, <Node P>, <Node R>, <Node S>, <Node A>] : 101 + 97 + 80 + 140 = 418
# [<Node B>, <Node F>, <Node S>, <Node A>] : 211 + 99 + 140 = 450
コード例 #5
0
# Search methods

import search

ab = search.GPSProblem('A', 'H', search.romania)

print("Búsqueda en anchura:")
print("----------------------------------------------------------------")
print(search.breadth_first_graph_search(ab).path(), '\n')
print("Búsqueda en profundidad:")
print("----------------------------------------------------------------")
print(search.depth_first_graph_search(ab).path(), '\n')
print("Búsqueda en Ramificación y acotación:")
print("----------------------------------------------------------------")
print(search.bab(ab).path(), '\n')
print("Búsqueda en Ramificación y acotación con subestimación:")
print("----------------------------------------------------------------")
print(search.babsub(ab).path())

# Result:
# [<Node B>, <Node P>, <Node R>, <Node S>, <Node A>] : 101 + 97 + 80 + 140 = 418
# [<Node B>, <Node F>, <Node S>, <Node A>] : 211 + 99 + 140 = 450
コード例 #6
0
print("\nT -> U")
print(search.breadth_first_graph_search(tu).path())
print("\nH -> L")
print(search.breadth_first_graph_search(hl).path())
print(
    "\n\n__________________________ Depth first ___________________________\n")
print("A -> B")
print(search.depth_first_graph_search(ab).path())
print("\nT -> U")
print(search.depth_first_graph_search(tu).path())
print("\nH -> L")
print(search.depth_first_graph_search(hl).path())
print(
    "\n\n________________________ Branch and bound ________________________\n")
print("A -> B")
print(search.bab(ab).path())
print("\nT -> U")
print(search.bab(tu).path())
print("\nH -> L")
print(search.bab(hl).path())
print(
    "\n\n_______________ Branch and bound - subestimation _________________\n")
print("A -> B")
print(search.babh(ab).path())
print("\nT -> U")
print(search.babh(tu).path())
print("\nH -> L")
print(search.babh(hl).path())

# Result:
# [<Node B>, <Node P>, <Node R>, <Node S>, <Node A>] : 101 + 97 + 80 + 140 = 418
コード例 #7
0
# Search methods

import search

ab = search.GPSProblem('A', 'B', search.romania)
sb = search.GPSProblem('S', 'B', search.romania)
db = search.GPSProblem('D', 'B', search.romania)
cb = search.GPSProblem('C', 'B', search.romania)
eb = search.GPSProblem('E', 'B', search.romania)

print("Ruta de AB sin subestimacion: ", search.bab(ab).path())
print("Ruta de AB con subestimacion: ", search.babs(ab).path())

print("###############################################")

print("Ruta de SB sin subestimacion: ", search.bab(sb).path())
print("Ruta de SB con subestimacion: ", search.babs(sb).path())

print("###############################################")

print("Ruta de DB sin subestimacion: ", search.bab(db).path())
print("Ruta de DB con subestimacion: ", search.babs(db).path())

print("###############################################")

print("Ruta de CB sin subestimacion: ", search.bab(cb).path())
print("Ruta de CB con subestimacion: ", search.babs(cb).path())

print("###############################################")

print("Ruta de EB sin subestimacion: ", search.bab(eb).path())
コード例 #8
0
# Search methods

import search

ab = search.GPSProblem('A', 'B', search.romania)

print("Solución para ir desde B hasta A")
print(" ")

print("Con el algoritmo de búsqueda en anchura se obtiene:")
print(search.breadth_first_graph_search(ab).path())
print("Con el algoritmo de búsqueda en profundidad se obtiene:")
print(search.depth_first_graph_search(ab).path())
print("Con el algoritmo de búsqueda de ramificación y salto se obtiene:")
print(search.bab(ab).path())
print(
    "Con el algoritmo de búsqueda de ramificación y salto con subestimación se obtiene:"
)
print(search.babh(ab).path())

print(" ")
print(" ")
print(" ")

ac = search.GPSProblem('O', 'A', search.romania)

print("Solución para ir desde A hasta O")
print(" ")

print("Con el algoritmo de búsqueda en anchura se obtiene:")
print(search.breadth_first_graph_search(ac).path())
コード例 #9
0
# Search methods

import search

print("DESDE B hasta A\n")
ab = search.GPSProblem('A', 'B'
                       , search.romania)
print("\nBusqueda por ramificacion y acotacion")
print(search.bab(ab).path())
print("\nBusqueda por ramificacion y acotacion con subestimacion")
print(search.consubestimacion(ab).path())

# Result:

# [<Node B>, <Node P>, <Node R>, <Node S>, <Node A>] : 101 + 97 + 80 + 140 = 418
# [<Node B>, <Node P>, <Node R>, <Node S>, <Node A>] : 101 + 97 + 80 + 140 = 418
print("------------------------------------------------------------------------------------")
print("DESDE E hasta S\n")

se = search.GPSProblem('S', 'E'
                       , search.romania)
print("\nBusqueda por ramificacion y acotacion")
print(search.bab(se).path())
print("\nBusqueda por ramificacion y acotacion con subestimacion")
print(search.consubestimacion(se).path())

# Result:

# [<Node E>, <Node H>, <Node U>, <Node B>, <Node P>, <Node R>, <Node S>] : 547
# [<Node E>, <Node H>, <Node U>, <Node B>, <Node P>, <Node R>, <Node S>] : 547