Hi Olivier,

I got access to CPLEX 12.9 and indeed it resolved the issue - thanks!

However, I'm seeing that it's much slower on all my "regular" models. I don't know whether it's an issue with the version itself, or with the specific build/installation I'm using.

Is this a known issue?

```
> ./venv/bin/python solve.py
cplex_path: /p/dt/sde/tools/em64t_SLES11/cplex/12.8/cpoptimizer/bin/x86-64_linux/
model 2a, define & solve 500 times
total time: 33.46s
model 2b, define once & solve 500 times
total time: 33.78s
> ./venv/bin/python solve.py
cplex_path: /p/dt/sde/tools/em64t_SLES11/cplex/12.9/cpoptimizer/bin/x86-64_linux/
model 2a, define & solve 500 times
total time: 47.44s
model 2b, define once & solve 500 times
total time: 70.59s
```

```
def model2a(n = 1):
for i in range(n):
model = CpoModel(name="MyModel")
w = binary_var(name="w")
x = binary_var(name="x")
y = binary_var(name="y")
z = binary_var(name="z")
model.add(logical_or(x == 1, y == 1))
model.add(if_then(x == 1, logical_not(z == 1)))
model.add(logical_and(logical_or(logical_or(w == 1, x == 1), y == 1), z == 1))
params = CpoParameters(
RandomSeed=int(time.time()),
SearchType="MultiPoint",
LogVerbosity="Quiet",
WarningLevel=0,
)
solver = CpoSolver(model, params=params)
result = solver.solve()
def model2b(n = 1):
model = CpoModel(name="MyModel")
w = binary_var(name="w")
x = binary_var(name="x")
y = binary_var(name="y")
z = binary_var(name="z")
model.add(logical_or(x == 1, y == 1))
model.add(if_then(x == 1, logical_not(z == 1)))
model.add(logical_and(logical_or(logical_or(w == 1, x == 1), y == 1), z == 1))
params = CpoParameters(
RandomSeed=int(time.time()),
SearchType="MultiPoint",
LogVerbosity="Quiet",
WarningLevel=0,
)
solver = CpoSolver(model, params=params)
for i in range(n):
result = solver.solve()
n = 500
print(f"model 2a, define & solve {n} times")
start = time.time()
model2a(n)
print(f"total time: {time.time() - start:.2f}s")
print(f"model 2b, define once & solve {n} times")
start = time.time()
model2b(n)
print(f"total time: {time.time() - start:.2f}s")
```

Meanwhile, I'll try to get access to a newer CPLEX version.

------------------------------

Tomer Vromen

------------------------------

Original Message:

Sent: Mon February 22, 2021 06:11 AM

From: Tomer Vromen

Subject: CPLEX CP: minimize_static_lex slowness for some "easy" problems

Thanks for the quick reply! I will try to use a newer version.

------------------------------

Tomer Vromen

Original Message:

Sent: Mon February 22, 2021 04:55 AM

From: Olivier Lhomme

Subject: CPLEX CP: minimize_static_lex slowness for some "easy" problems

Hi Tomer,

we checked with the 12.8 version, and can reproduce this slow and unexpected behavior. We need to investigate further to understand exactly what are the causes of this problem.

You should definitely use a more recent version, 12.8 is quite old and many improvements have been done in the subsequent versions. As for this specific model, it is solved in 0.03s with the current version (20.1), or even with the old 12.9 version.

Thanks for reporting this problem.

------------------------------

Olivier Lhomme

Original Message:

Sent: Fri February 19, 2021 11:15 AM

From: Tomer Vromen

Subject: CPLEX CP: minimize_static_lex slowness for some "easy" problems

Hi Olivier,

Sorry about that - it was a copy-past mistake. In my model it is indeed like you wrote.

I'm using CPLEX 12.8.

Is there performance differences for this model between my version and a newer one?

------------------------------

Tomer Vromen

Original Message:

Sent: Fri February 19, 2021 09:37 AM

From: Olivier Lhomme

Subject: CPLEX CP: minimize_static_lex slowness for some "easy" problems

Hello,

Which version of CP Optimizer do you use? the current version raises the following exception:

docplex.cp.utils.CpoException: Only one objective function can be added to the model.

This is due to the for loop in your model, it adds an objective at each iteration.

You should write:

`for i in range(N): model.add(if_then(always_true, ys[i] == 1))model.add(minimize_static_lex(ys))`

instead of:

`for i in range(N): model.add(if_then(always_true, ys[i] == 1)) model.add(minimize_static_lex(ys))`

and you will get:

! Time spent in solve : 0.03s (0.02s engine + 0.01s extraction)

------------------------------

Olivier Lhomme

Original Message:

Sent: Thu February 18, 2021 12:58 PM

From: Tomer Vromen

Subject: CPLEX CP: minimize_static_lex slowness for some "easy" problems

Hi,

I have a model which uses minimize_static_lex with ~200 constraints. The constraints are relatively simple, but it takes a lot of time to solve.

Here is a simplified version of this model:

from docplex.cp.model import CpoModel

from docplex.cp.parameters import CpoParameters

from docplex.cp.solver.solver import CpoSolver

from docplex.cp.modeler import if_then, logical_or, minimize_static_lex

from docplex.cp.expression import integer_var, binary_var

N = 200

model = CpoModel(name="MyModel")

x = integer_var(name="x", min=0, max=1)

ys = [binary_var(name=f"y{i}") for i in range(N)]

always_true = logical_or(x == 0, x == 1)

for i in range(N):

model.add(if_then(always_true, ys[i] == 1))

model.add(minimize_static_lex(ys))

seed = int(1234)

params = CpoParameters(

RandomSeed=seed,

# SearchType="MultiPoint",

LogVerbosity="Verbose", # 'Quiet'

WarningLevel=3, # 0

)

solver = CpoSolver(model, params=params)

result = solver.solve()

print(result)

I tried it with several values for N:

N = 50, time = 4s

N = 100, time = 8s

N = 200, time = 25s

N = 400, time = 110s

Any tips for using minimize_static_lex? Or maybe this can be improved in the solver?

For now, we're just avoiding logical_or as much as possible.

Thanks,

Tomer

------------------------------

Tomer Vromen

------------------------------

#DecisionOptimization