问题描述
我有2个同时使用docplex运行的解决方案,我想在另一个解决方案完成后立即停止解决。有没有办法解决一个问题?
解决方法
您可以使用get_cplex()
函数返回的低级引擎对象来执行此操作。这是Cplex的CPLEX Python API类的实例。您可以使用函数Aborter将use_aborter()安装到该实例中。
如果对所有Cplex
实例使用相同的中止器,则最终可以调用中止器abort()
函数来停止所有求解。
请注意,中止请求并非总是立即处理。在CPLEX引擎确认中止之前,可能会稍有延迟。
,谢谢,我能够使用以下代码添加功能:
from docplex.mp.progress import ProgressListener,ProgressClock
class AutomaticAborter(ProgressListener):
""" a simple implementation of an automatic search stopper.
"""
def __init__(self):
super(AutomaticAborter,self).__init__(ProgressClock.All)
self.last_obj = None
self.last_obj_time = None
self.con = 0
def notify_start(self):
super(AutomaticAborter,self).notify_start()
self.last_obj = None
self.last_obj_time = None
self.con = 0
def is_improving(self,new_obj,eps=1e-4):
last_obj = self.last_obj
return last_obj is None or (abs(new_obj- last_obj) >= eps)
def notify_progress(self,pdata):
super(AutomaticAborter,self).notify_progress(pdata)
global con_f
if pdata.has_incumbent and self.is_improving(pdata.current_objective):
self.last_obj = pdata.current_objective
self.last_obj_time = pdata.time
print('----> #new objective={0},time={1}s'.format(self.last_obj,self.last_obj_time))
else:
# a non improving move
last_obj_time = self.last_obj_time
this_time = pdata.time
if last_obj_time is not None:
self.con=con_f
if con_f>0:
print('!! aborting cplex,con_f >{}'.format(self.con))
self.abort()
else:
print('----> running {}'.format(con_f))
con_f=0
solver.add_progress_listener(AutomaticAborter())
solver1.add_progress_listener(AutomaticAborter())
def work(worker_queue,id,stop_event):
while not stop_event.is_set():
if id==1:
work.msol=solver.solve(clean_before_solve=True,log_output=True)
else:
work.msol1=solver1.solve(clean_before_solve=True,log_output=True)
# put worker ID in queue
if not stop_event.is_set():
worker_queue.put(id)
break
# queue for workers
worker_queue = Queue()
# indicator for other threads to stop
stop_event = threading.Event()
# run workers
threads = []
threads.append(Thread(target=work,args=(worker_queue,1,stop_event)))
threads.append(Thread(target=work,2,stop_event)))
for thread in threads:
thread.start()
# this will block until the first element is in the queue
first_finished = worker_queue.get()
print(first_finished,'was first!')
con_f=1
# signal the rest to stop working
stop_event.set()```