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solve_problems.py
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solve_problems.py
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import pickle
import argparse
import numpy as np
from parallel_machines import Job, Machine, Problem
from parallel_machines import Variables, Implement_QUBO
from parallel_machines import solve_on_DWave, dict_of_solutions, sort_sols, display_sols
def case1():
""" tmax = 8 #m = 2, #j = 5"""
P = Problem(tmax = 8)
machines_list = (Machine(1),Machine(2))
P.add_machines(machines_list)
P.machine_occupation(1, occupied_till=4)
jobs_list = (Job(id=1, release_t=0, process_t=1, priority=0.2),
Job(id=2, release_t=2, process_t=2, priority=0.2),
Job(id=3, release_t=1, process_t=4, priority=0.8),
Job(id=4, release_t=5, process_t=2, priority=0.8),
Job(id=5, release_t=0, process_t=5, priority=0.8),
)
P.add_jobs(jobs_list)
return P
def case2():
""" tmax = 8 #m = 2, #j = 6"""
P = Problem(tmax = 8)
machines_list = (Machine(1),Machine(2))
P.add_machines(machines_list)
P.machine_occupation(1, occupied_till=2)
jobs_list = (Job(id=1, release_t=0, process_t=1, priority=0.2),
Job(id=2, release_t=2, process_t=2, priority=0.2),
Job(id=3, release_t=1, process_t=4, priority=0.8),
Job(id=4, release_t=5, process_t=2, priority=0.8),
Job(id=5, release_t=0, process_t=5, priority=0.8),
Job(id=6, release_t=2, process_t=2, priority=0.8),
)
P.add_jobs(jobs_list)
return P
def case3():
""" tmax = 12 #m = 3, #j = 10"""
P = Problem(tmax = 10)
machines_list = (Machine(1),Machine(2), Machine(3))
P.add_machines(machines_list)
P.machine_occupation(1, occupied_till=4)
P.machine_occupation(3, occupied_till=1)
jobs_list = (Job(id=1, release_t=0, process_t=1, priority=0.2),
Job(id=2, release_t=2, process_t=2, priority=0.2),
Job(id=3, release_t=1, process_t=4, priority=0.2),
Job(id=4, release_t=5, process_t=2, priority=0.2),
Job(id=5, release_t=0, process_t=5, priority=0.2),
Job(id=6, release_t=0, process_t=4, priority=0.8),
Job(id=7, release_t=1, process_t=3, priority=0.8),
Job(id=8, release_t=2, process_t=3, priority=0.8),
Job(id=9, release_t=5, process_t=2, priority=0.8),
Job(id=10, release_t=0, process_t=6, priority=0.8),
)
P.add_jobs(jobs_list)
return P
def case4():
""" tmax = 20 #m = 3, #j = 12"""
P = Problem(tmax = 20)
machines_list = (Machine(1),Machine(2), Machine(3))
P.add_machines(machines_list)
P.machine_occupation(1, occupied_till=4)
P.machine_occupation(3, occupied_till=1)
jobs_list = (Job(id=1, release_t=0, process_t=1, priority=0.2),
Job(id=2, release_t=2, process_t=2, priority=0.2),
Job(id=3, release_t=1, process_t=4, priority=0.2),
Job(id=4, release_t=5, process_t=2, priority=0.2),
Job(id=5, release_t=0, process_t=5, priority=0.2),
Job(id=6, release_t=0, process_t=4, priority=0.8),
Job(id=7, release_t=1, process_t=3, priority=0.8),
Job(id=8, release_t=2, process_t=3, priority=0.8),
Job(id=9, release_t=5, process_t=2, priority=0.8),
Job(id=10, release_t=0, process_t=6, priority=0.8),
Job(id=11, release_t=1, process_t=8, priority=0.8),
Job(id=12, release_t=1, process_t=7, priority=0.8),
)
P.add_jobs(jobs_list)
return P
def case5():
""" tmax = 20 #m = 5, #j = 14"""
P = Problem(tmax = 12)
machines_list = (Machine(1),Machine(2), Machine(3), Machine(4), Machine(5))
P.add_machines(machines_list)
P.machine_occupation(1, occupied_till=4)
P.machine_occupation(3, occupied_till=1)
jobs_list = (Job(id=1, release_t=0, process_t=1, priority=0.2),
Job(id=2, release_t=2, process_t=2, priority=0.2),
Job(id=3, release_t=2, process_t=3, priority=0.2),
Job(id=4, release_t=1, process_t=3, priority=0.2),
Job(id=5, release_t=0, process_t=5, priority=0.2),
Job(id=6, release_t=5, process_t=2, priority=0.2),
Job(id=7, release_t=0, process_t=5, priority=0.2),
Job(id=8, release_t=0, process_t=4, priority=0.8),
Job(id=9, release_t=1, process_t=3, priority=0.8),
Job(id=10, release_t=2, process_t=3, priority=0.8),
Job(id=11, release_t=5, process_t=2, priority=0.8),
Job(id=12, release_t=0, process_t=6, priority=0.8),
Job(id=13, release_t=1, process_t=8, priority=0.8),
Job(id=14, release_t=1, process_t=7, priority=0.8),
)
P.add_jobs(jobs_list)
return P
if __name__ == "__main__":
parser = argparse.ArgumentParser("mode of problem solving: computation / output analysis")
parser.add_argument(
"--case",
type=int,
help="problem case",
default=1,
)
parser.add_argument(
"--real",
help="if True simulated annealing (via DWave software), if False real annealing",
default=False,
action=argparse.BooleanOptionalAction,
)
parser.add_argument(
"--hyb",
help="if True use hybrid solver (BQM)",
default=False,
action=argparse.BooleanOptionalAction,
)
parser.add_argument(
"--no_compute",
help="if True computations are not performed but only data are read from file",
default=False,
action=argparse.BooleanOptionalAction,
)
parser.add_argument(
"--at",
type=float,
help="annealing time for real device",
default=1.,
)
parser.add_argument(
"--plot_item",
type=int,
help="number of realisation to be plot",
default=0,
)
parser.add_argument(
"--no_runs",
type=int,
help="number of runs on the simulated or real device",
default=1,
)
parser.add_argument(
"--psum",
type=float,
help="sum penalty",
default=100.,
)
parser.add_argument(
"--ppair",
type=float,
help="pair penalty",
default=100.,
)
parser.add_argument(
"--show_all",
help="if True show all solutions, else show only feasible",
default=False,
action=argparse.BooleanOptionalAction,
)
parser.add_argument(
"--exp",
help="if True uses exponential objective",
default=False,
action=argparse.BooleanOptionalAction,
)
args = parser.parse_args()
if args.case == 1:
P = case1()
if args.case == 2:
P = case2()
if args.case == 3:
P = case3()
if args.case == 4:
P = case4()
if args.case == 5:
P = case5()
Vars = Variables(P)
print("QUBO size = ", Vars.size)
if args.exp:
Q = Implement_QUBO(psum=args.psum, ppair=args.ppair, objective=lambda tau : np.exp(tau))
else:
Q = Implement_QUBO(psum=args.psum, ppair=args.ppair, objective=lambda tau : tau**2)
Q.make_QUBO(Vars, P)
file = f"parallel_machines/solutions/sim_case{args.case}_psum{round(args.psum)}_ppair{round(args.ppair)}.pkl"
if args.exp:
file = file.replace("case", "exp_case")
if args.hyb:
file = file.replace("sim", f"hyb_bqm")
elif args.real:
file = file.replace("sim", f"real_at{args.at}")
if not args.no_compute:
solutions = solve_on_DWave(Q.qubo_terms, no_runs = args.no_runs, real= args.real, hyb=args.hyb, at = args.at)
sol = solutions.record
with open(file, 'wb') as fp:
pickle.dump(sol, fp)
with open(file, 'rb') as fp:
sol = pickle.load(fp)
D = dict_of_solutions(Vars, P, Q, sol, print_not_feasible = args.show_all)
newdict = sort_sols(D)
display_sols(Vars, P, newdict, args.plot_item)