[BUG] integer_idx not working (trial vectors are still float) #286
Description
pycma 4.0.0
python 3.12 on ubuntu
I have a optimization problem involving 14 integer variables. I am calling fmin() in the manner below, where integer_idx is set to 0, ..., 13.
However, when I inspect the vector (of population members) passed to obj_func, they are not integers but floats. Do I need to do something other than setting integer_idx?
opts = cma.CMAOptions()
opts.set("integer_variables", integer_idx.tolist())
opts.set("bounds", [lb.tolist(), up.tolist()])
opts.set("ftarget", 0.0)
opts.set("CMA_stds", std.tolist())
print(f"{x0 = }")
print(f"{integer_idx.tolist() = }")
print(f"{lb.tolist() = }")
print(f"{up.tolist() = }")
print(f"{std.tolist() = }")
res = cma.fmin(
objective_function=obj_func,
parallel_objective=obj_func,
x0=x0,
sigma0=1.0,
options=opts,
eval_initial_x=True,
args=(opt_conf, opt_state),
# restarts=1,
# restart_from_best='True',
)
Output:
x0 = array([ -9, 0, 25, 23, -30, -70, -2, 125, 105, -138, -316,
-3, 808, 1531])
integer_idx.tolist() = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
lb.tolist() = [-15, -6, 21, 20, -36, -79, -16, 121, 98, -149, -326, -25, 802, 1520]
up.tolist() = [-6, 4, 29, 33, -23, -67, 6, 130, 123, -124, -312, 10, 814, 1551]
std.tolist() = [2.25, 2.5, 2.0, 3.25, 3.25, 3.0, 5.5, 2.25, 6.25, 6.25, 3.5, 8.75, 3.0, 7.75]
(21_w,43)-aCMA-ES (mu_w=12.1,w_1=15%) in dimension 14 (seed=370228, Tue Jan 7 20:18:18 2025)
Iterat #Fevals function value axis ratio sigma min&max std t[m:s]
1 44 6.938313512132006e-01 1.0e+00 8.75e-01 2e+00 7e+00 0:00.0
2 87 1.541264009940674e-01 1.2e+00 8.38e-01 2e+00 7e+00 0:00.1
3 130 2.978738982081726e-01 1.3e+00 7.79e-01 2e+00 6e+00 0:00.1