版权声明:本文为博主原创文章,未经博主允许不得转载。 https://blog.csdn.net/littlethunder/article/details/26621427
接上一篇,同样的01背包问题,上一篇采用动态规划的方法,现在用回溯法解决。回溯法采用深度优先策略搜索问题的解,不多说,代码如下:
bestV=0
curW=0
curV=0
bestx=None
def backtrack(i):
global bestV,curW,curV,x,bestx
if i>=n:
if bestV<curV:
bestV=curV
bestx=x[:]
else:
if curW+w[i]<=c:
x[i]=True
curW+=w[i]
curV+=v[i]
backtrack(i+1)
curW-=w[i]
curV-=v[i]
x[i]=False
backtrack(i+1)
if __name__=='__main__':
n=5
c=10
w=[2,2,6,5,4]
v=[6,3,5,4,6]
x=[False for i in range(n)]
backtrack(0)
print(bestV)
print(bestx)
运行结果如下:
转载请注明:转自http://blog.csdn.net/littlethunder/article/details/26621427