Linear Function Test

[EdoF90]

Describe the bug
The code does not act as it should on a simple linear function.

To Reproduce
This is the code that I am running:

import numpy as np
import pyswarms as ps

def test_func(x):
    return np.sum(x)

# Set-up hyperparameters
options = {'c1': 0.5, 'c2': 0.3, 'w':0.3}

x_max = 10 * np.ones(2)
x_min = 0 * x_max
bounds = (x_min, x_max)

# Call instance of PSO
optimizer = ps.single.GlobalBestPSO(
    n_particles=10,
    dimensions=2,
    options=options, 
    bounds=bounds
)

# Perform optimization
cost, pos = optimizer.optimize(
    test_func,
    iters=1000
)
print("cost: ", cost)
print("pos: ", pos)

Expected behavior
I would expect to return the point (0,0) or the point (10,10).

Environment (please complete the following information):

• OS: Linux
• Version Ubuntu 20.04
• Python Version 3.8.5

[stale]

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