Created
September 30, 2009 10:05
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def read_file(filename): | |
v = [] | |
w = [] | |
capacity = 0 | |
f = open(filename) | |
for line in f: | |
if line.startswith("capacity="): | |
capacity = int(line[9:]) | |
else: | |
v_, w_ = (eval(line)) | |
v.append(v_) | |
w.append(w_) | |
f.close() | |
return (v, w, capacity) | |
def KnapSack(v, w, n, W): | |
# build table V and K | |
V = [] | |
keep = [] | |
for i in range(0,n+1): | |
keep.append([False]*(W+1)) | |
V.append([0]*(W+1)) | |
# DP algorithm | |
for i in range(1,n+1): | |
for w_ in range(0,W+1): | |
if w[i-1] <= w_ and (v[i-1] + V[i - 1][w_ - w[i-1]] > V[i - 1][w_]): | |
V[i][w_] = v[i-1] + V[i - 1][w_ - w[i-1]] | |
keep[i][w_] = True | |
else: | |
V[i][w_] = V[i - 1][w_] | |
keep[i][w_] = False | |
# find optimal knapsack | |
K = W | |
optimal_knapsack = [] | |
for i in range(n, 1, -1): | |
if keep[i][K]: | |
optimal_knapsack.append((v[i-1], w[i-1])) | |
K = K - w[i-1] | |
return optimal_knapsack | |
def main(): | |
v, w, capacity = read_file("referenceExample.txt") | |
print "Optimal knapsack: " + str(KnapSack(v, w, len(v), capacity)) | |
if __name__ == '__main__': | |
main() |
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