import concurrent.futures
import time
import scipy.optimize

def objective1(x):
    print(x, "1")
    time.sleep(0.1)
    return x[0]**2

def objective2(x):
    print(x, "2")
    time.sleep(0.1)
    return (x[0]-1)**2

min_method = "COBYLA"

def minimizer1():
    return scipy.optimize.minimize(objective1,
                                   [0.0],
                                   method=min_method)

def minimizer2():
    return scipy.optimize.minimize(objective2,
                                   [0.0],
                                   method=min_method)

with concurrent.futures.ThreadPoolExecutor() as pool:
    tasks = []
    tasks.append(pool.submit(minimizer1))
    tasks.append(pool.submit(minimizer2))

    for t in tasks:
        print(t.result())