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Particle Swarm Optimisation implementation.

Project description

PyShoal is an implementation of <Particle Swarm Optimisation> in Python.

Typical usage:

#!/usr/bin/env python
from pso import PSO

def rastrigin(a,b):
    return 0- (10 * 2 + \
           (a**2 - (10 * np.cos(2 * np.pi * a))) + \
           (b**2 - (10 * np.cos(2 * np.pi * b))))

obj_func = rastrigin
o = PSO(obj_func = obj_func,
        init_var_ranges = ((-500,500),(-500,500)),
        n_parts = 144,
        topo="gbest",
        weights=[0.9, 0.4, 1.0, 2.5])
res = o.opt(max_itr = 100,
            tol_thres = (0.01,0.01),
            tol_win = 5,
            plot = True,
            save_plots=False)

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PyShoal-0.1.0.tar.gz (18.3 kB view hashes)

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