How do i decide on the option parameters when using PSO pyswarms

Question

im trying to use binary pso package from pyswarms to conduct a text classification.

however I am a bit stuck on what parameters i should use?

c1 :float
cognitive parameter
c2 :float
social parameter
w :float
inertia parameter
k :int
number of neighbors to be considered. Must be a positive integer less than n_particles p: int {1,2}

These are the default parameters:

options = {'c1': 0.5, 'c2': 0.5, 'w':0.9, 'k': 30, 'p':2}

is there a specific way i need to choose them? so far ive honestly playing around with different parameters randomly.