algorithm-in-python/search/schedule.py
2018-12-11 15:57:58 +08:00

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''' mbinary
#########################################################################
# File : schedule.py
# Author: mbinary
# Mail: zhuheqin1@gmail.com
# Blog: https://mbinary.coding.me
# Github: https://github.com/mbinary
# Created Time: 2018-11-30 12:00
# Description:
#########################################################################
'''
'''
回溯全空间搜索, 剪枝优化
设有n个任务由k个可并行工作的机器来完成完成任务i需要时间为 。试设计一个算法找出完成这n个任务的最佳调度使完成全部任务的时间最早。
'''
from time import time
from functools import total_ordering
@total_ordering
class record:
def __init__(self,nums=None):
if nums is None:
nums=[]
self.nums=nums
self.sum = sum(nums)
def append(self,x):
self.nums.append(x)
self.sum+=x
def pop(self):
x = self.nums.pop()
self.sum-=x
return x
def __repr__(self):
return repr(self.nums)
def __lt__(self,r):
return self.sum<r.sum
def __eq__(self,r):
return self.sum==r.sum
def tolist(self):
return self.nums.copy()
def __hash__(self):
return self.sum
def schedule(works,k):
def backtrackSearch(i,lsts):
nonlocal best,rst
if i==n:
cost = max(r.sum for r in lsts )
if best>cost:
best= cost
rst = [st.tolist() for st in lsts]
else:
for cur in set(lsts):
if best>cur.sum+works[i]:
cur.append(works[i])
backtrackSearch(i+1,lsts)
cur.pop()
def findInitial(i,lst):
nonlocal best
if i==n:
cost = max(lst)
if best>cost:best = cost
else:
mn = lst[0]
idx = 0
visited=set()
for j,cur in enumerate(lst):
if cur not in visited:
visited.add(cur)
if mn>cur:
mn = cur
idx = j
lst[idx]+=works[i]
findInitial(i+1,lst)
lst[idx]-=works[i]
n = len(works)
print()
print('machine Num:',n)
print('works :',works)
rst = None
works.sort(reverse=True) # key step
best = sum(works[:n-k+1])
t = time()
findInitial(0,[0]*k) # key step
t1 = time()-t
print('init solution: {} cost time {:.6f}s'.format(best,t1))
t = time()
backtrackSearch(0,[record() for i in range(k)])
t2 = time()-t
print('final solution: {} cost time {:.6f}s'.format(best,t2))
print('schedule plan:',rst)
return best,rst
if __name__=='__main__':
from random import randint
schedule([47,20,28,44,21,45,30,39,28,33],3)
schedule([98,84,50,23,32,99,22,76,72,61,81,39,76,54,37],5)
schedule([39,39,23,45,100,69,21,81,39,55,20,86,34,53,58,99,36,45,46],8)
'''
machine Num: 19
works : [39, 39, 23, 45, 100, 69, 21, 81, 39, 55, 20, 86, 34, 53, 58, 99, 36, 45, 46]
works 经过逆序排序
init solution: 135 cost time 0.000196s
final solution: 126 cost time 0.022922s
schedule plan: [[100, 21], [99, 23], [86, 39], [81, 45], [69, 53], [58, 45, 20], [55, 36, 34], [46, 39, 39]]
works 没有经过排序
init solution: 168 cost time 0.000179s
final solution: 126 cost time 10.646307s
schedule plan: [[39, 86], [39, 34, 53], [23, 99], [45, 39, 36], [100, 20], [69, 55], [21, 58, 46], [81, 45]]
'''