def brute_force_method(num_point, space_size, seed, plot=False):
points = create_points(num_point, space_size, seed)
distance_mat = distance_matrix(points)
minimum_distance, minimum_permutation = minumum_permutation_calculation(
points, distance_mat)
if plot:
plot_polygon_with_index(points,
minimum_permutation,
title=minimum_distance)
return minimum_distance, minimum_permutation
def brute_force_improved_multiprocessing(num_point, space_size, seed, plot=False):
if __name__ == '__main__':
points = create_points(num_point, space_size, seed)
distance_mat = distance_matrix(points)
res = minumum_permutation_calculation(distance_mat, num_point)
res = sorted(res)
minimum_distance, minimum_permutation = res[0]
if plot:
plot_polygon_with_index(points, minimum_permutation, title=minimum_distance)
return minimum_distance, minimum_permutation
def angle_elimination_method(number_of_points, space_size, seed, plot=False):
angle_of_interest = 60
points = create_points(number_of_points, space_size, seed)
distance_mat = mesure.distance_matrix(points)
angle_mat = mesure.angle_matrix(points)
graph = elemination_with_certain_angle(points, angle_mat, angle_of_interest)
graph = add_polygon_to_graph(points, graph)
graph = graph_balance(graph)
graph_sol = graph_search(graph, number_of_points)
dist, route = main_route(points, graph_sol, distance_mat)
if plot:
pt.plot_polygon_with_index(points, route)
return dist
def first_step(number_of_points, space_size, seed):
points = create_points(number_of_points, space_size, seed)
distance_mat = distance_matrix(points)
ext = find_exterior_polygon(points, True)
graph = [[] for j in range(len(points))]
graph = add_polygon_to_graph(ext, graph)
point_indices = [each for each in range(len(points))]
new_points = eliminate_list(point_indices, ext)
lenp = len(new_points)
for _ in range(lenp):
new_points, ext, graph = minimum_deviation_point_to_polygon(points, ext, distance_mat, new_points, graph)
# pt.plot_graph(points, graph)
graph = graph_balance(graph)
return points, distance_mat, graph, ext
def mean_angle_elemination_method(number_of_points, space_size, seed, plot=False):
points = create_points(number_of_points, space_size, seed)
angle_mat = angle_matrix(points)
distance_mat = distance_matrix(points)
angle_sep = angle_seperation(points, angle_mat)
seperation = harmonic_mean_angle_seperation(angle_sep)
new_graph = elemination_with_nearst(points, seperation, distance_mat)
new_graph = graph_balance(new_graph)
graph_sol = graph_search(new_graph)
dist, route = main_route(points, graph_sol, distance_mat)
# pt.plot_graph(points, new_graph)
if plot:
plot_polygon_with_index(points, route)
return dist
def method_1(number_of_points, space_size, seed):
points = create_points(number_of_points, space_size, seed)
distance_mat = distance_matrix(points)
ext = find_exterior_polygon(points, True)
graph = [[] for j in range(len(points))]
graph = add_polygon_to_graph(ext, graph)
new_points = eliminate_list([each for each in range(len(points))], ext)
lenp = len(new_points)
for _ in range(lenp):
new_points, ext, graph = minimum_deviation_exterior_polygon(points, ext, distance_mat, new_points, graph)
graph = graph_balance(graph)
while len(ext) > 2:
ext, graph = graph_correction(points, ext, graph, distance_mat)
# plot_graph(points, graph)
return ext, graph
def method_2(number_of_points, space_size, seed):
points = create_points(number_of_points, space_size, seed)
distance_mat = distance_matrix(points)
graph = [[] for j in range(len(points))]
exteriors = find_exterior_polygon(points, True)
ext = exteriors[:2]
exts = [ext]
graph[exts[0][0]].append(exts[0][1])
graph[exts[0][1]].append(exts[0][0])
new_points = eliminate_list([each for each in range(len(points))], exts[0])
lenx = len(new_points)
for _ in range(lenx):
exts, new_points, graph = asd(points, new_points, exts, exteriors, graph, distance_mat)
print(exts)
# graph = add_exterrior_polygon(points, graph)
plot_graph(points, graph)
def new_angle_elimination_method(number_of_points,
space_size,
seed,
plot=False):
angle_of_interest = 60
points = create_points(number_of_points, space_size, seed)
distance_mat = distance_matrix(points)
angle_mat = angle_matrix(points)
graph = deviation_angle_calculation(points, angle_of_interest, angle_mat,
distance_mat)
exterior = find_exterior_polygon(points, with_indices=True)
graph = add_polygon_to_graph(exterior, graph)
graph = graph_balance(graph)
graph_sol = graph_search(graph)
dist, route = main_route(points, graph_sol, distance_mat)
if plot:
plot_polygon_with_index(points, route)
return dist
