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import math | |
import itertools | |
def length(x, y): | |
dx = x[0] - y[0] | |
dy = x[1] - y[1] | |
return math.sqrt(dx*dx + dy*dy) | |
def solve_tsp_dynamic(points): | |
#calc all lengths | |
all_distances = [[length(x,y) for y in points] for x in points] | |
#initial value - just distance from 0 to every other point + keep the track of edges | |
A = {(frozenset([0, idx+1]), idx+1): (dist, [0,idx+1]) for idx,dist in enumerate(all_distances[0][1:])} | |
cnt = len(points) | |
for m in range(2, cnt): | |
#B = {} | |
for S in [frozenset(C) | {0} for C in itertools.combinations(range(1, cnt), m)]: | |
for j in S - {0}: | |
A[(S, j)] = min( [(A[(S-{j},k)][0] + all_distances[k][j], A[(S-{j},k)][1] + [j]) for k in S if k != 0 and k!=j]) #this will use 0th index of tuple for ordering, the same as if key=itemgetter(0) used | |
#A = B | |
print A | |
res = min([(A[d][0] + all_distances[0][d[1]], A[d][1]) for d in iter(A)]) | |
#print A | |
return res[0] | |
def main(): | |
# points = [[20833.3333, 17100.0000], | |
# [20900.0000, 17066.6667], | |
# [21300.0000, 13016.6667], | |
# [21600.0000, 14150.0000], | |
# [21600.0000, 14966.6667], | |
# [21600.0000, 16500.0000], | |
# [22183.3333, 13133.3333], | |
# [22583.3333, 14300.0000], | |
# [22683.3333, 12716.6667], | |
# [23616.6667, 15866.6667], | |
# [23700.0000, 15933.3333], | |
# [23883.3333, 14533.3333], | |
# [24166.6667, 13250.0000], | |
# [25149.1667, 12365.8333], | |
# [26133.3333, 14500.0000], | |
# [26150.0000, 10550.0000], | |
# [26283.3333, 12766.6667], | |
# [26433.3333, 13433.3333], | |
# [26550.0000, 13850.0000], | |
# [26733.3333, 11683.3333], | |
# [27026.1111, 13051.9444], | |
# [27096.1111, 13415.8333], | |
# [27153.6111, 13203.3333], | |
# [27166.6667, 9833.3333], | |
# [27233.3333, 10450.0000]] | |
points = [[2, 5], | |
[7, 5], | |
[2, 1], | |
[7, 1]] | |
print solve_tsp_dynamic(points) | |
if __name__ == "__main__": | |
main() |
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