def _gen_swarm(self, lo, up, size=0):
for _ in range(size):
x = random_vector(lo, up)
self.particles.append(
Particle(x, random_vector(-abs(up - lo), abs(up - lo))))
if calculate_yang(x) < calculate_yang(
self.best_swarm_x) or self.best_swarm_x == -1:
self.best_swarm_x = calculate_yang(x)
def update_particles_velocity(self, e, omega=1, fip=1, fig=1):
for particle in self.particles:
particle.update_velocity(omega, fip, fig, self.best_swarm_x)
particle.update_x()
particle_x_val = calculate_yang(particle.x, e)
particle_best_x_val = calculate_yang(particle.best_x, e)
if particle_x_val < particle_best_x_val:
def _gen_swarm(self, lo, up, size=0):
for _ in range(size):
self.particles.append(
Particle(
random_vector(lo, up), random_vector(-abs(up - lo), abs(up - lo))
)
)
if calculate_yang(self.particles[-1])
def _gen_swarm(self, lo, up, e, size=0):
for _ in range(size):
x = random_vector(lo, up)
self.particles.append(
Particle(x, random_vector(-abs(up - lo), abs(up - lo))))
x_val = calculate_yang(x, e)
if x_val < self.best_swarm_val or self.best_swarm_x == -1:
self.best_swarm_x = x
self.best_swarm_val = x_val
def _gen_swarm(self, lo, up, e, size=0):
for i in range(size):
if i == 0:
x = random_vector(lo, up)
else:
x = random_vector(
-abs(max(self.particles[0].x) - min(self.particles[0].x)),
abs(max(self.particles[0].x) - min(self.particles[0].x)))
self.particles.append(
Particle(x, random_vector(-abs(up - lo), abs(up - lo))))
x_val = calculate_yang(x, e)
if x_val < self.best_swarm_val or self.best_swarm_x == -1:
self.best_swarm_x = x
self.best_swarm_val = x_val
def update_particles_velocity(self, e, omega=1, fip=1, fig=1):
for particle in self.particles:
particle.update_velocity(omega, fip, fig, self.best_swarm_x)
x_val = calculate_yang(x, e)
class Swarm:
def __init__(self, e, size=0, lo=-5, up=5):
self.best_swarm_x = -1
self.best_swarm_val = -1
self.particles = []
self.size = size
self._gen_swarm(lo, up, e, size)
def _gen_swarm(self, lo, up, e, size=0):
for _ in range(size):
x = random_vector(lo, up)
self.particles.append(
Particle(x, random_vector(-abs(up - lo), abs(up - lo)))
)
x_val = calculate_yang(x, e)
if x_val < self.best_swarm_val or self.best_swarm_x == -1:
self.best_swarm_x = x
self.best_swarm_val = x_val
def update_particles_velocity(self, e, omega=1, fip=1, fig=1):
for particle in self.particles:
particle.update_velocity(omega, fip, fig, self.best_swarm_x)
particle.update_x()
particle_x_val = calculate_yang(particle.x, e)
particle_best_x_val = calculate_yang(particle.best_x, e)
if particle_x_val < particle_best_x_val:
particle.best_x = particle.x
if particle_x_val < self.best_swarm_val:
self.best_swarm_x = particle.x
