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#!/usr/bin/env python3
import time
import random
class Particle:
def __init__(self, x, y, z):
self.Pbest_x = 0
self.Pbest_y = 0
self.Pbest_z = 0
self.x = x
self.y = y
self.z = z
self.x_k1 = 0
self.y_k1 = 0
self.z_k1 = 0
self.V_x = 0
self.V_y = 0
self.V_z = 0
self.V_xk1 = 0
self.V_yk1 = 0
self.V_zk1 = 0
def __repr__(self):
return (
"{x: %s , y: %s, z: %s, Pbest_x: %s, Pbest_y: %s, Pbest_z: %s}\n"
% (
self.x,
self.y,
self.z,
self.Pbest_x,
self.Pbest_y,
self.Pbest_z,
)
)
def __str__(self):
return (
"{x: %s , y: %s, z: %s, Pbest_x: %s, Pbest_y: %s, Pbest_z: %s}\n"
% (
self.x,
self.y,
self.z,
self.Pbest_x,
self.Pbest_y,
self.Pbest_z,
)
)
def update_X(self):
self.x = self.x + self.V_xk1
self.y = self.y + self.V_yk1
self.z = self.z + self.V_zk1
def update_V(self, w, c1, c2, Gbest_x, Gbest_y, Gbest_z):
rand1 = random.random()
rand2 = random.random()
self.V_xk1 = (
w * self.V_x
+ c1 * rand1 * (self.Pbest_x - self.x)
+ c2 * rand2 * (Gbest_x - self.x)
)
self.V_yk1 = (
w * self.V_y
+ c1 * rand1 * (self.Pbest_y - self.y)
+ c2 * rand2 * (Gbest_y - self.y)
)
self.V_zk1 = (
w * self.V_z
+ c1 * rand1 * (self.Pbest_z - self.z)
+ c2 * rand2 * (Gbest_z - self.z)
)
def update_Pbest(self, x, y, z: float):
self.Pbest_x = x
self.Pbest_y = y
self.Pbest_z = z
def doRound(self, w, c1, c2, Gbest_x, Gbest_y, Gbest_z, fitness):
fitness_x = fitness(self.x, self.y, self.z)
self.update_V(w, c1, c2, Gbest_x, Gbest_y, Gbest_z)
self.update_X()
if abs(fitness(self.Pbest_x, self.Pbest_y, self.Pbest_z)) > abs(
fitness_x
):
self.update_Pbest(self.x, self.y, self.z)
class PSO:
def __init__(self, w, c1, c2, particle_count):
self.Gbest_x = 0
self.Gbest_y = 0
self.Gbest_z = 0
self.particle_count = particle_count
self.Particles = self.factory()
self.w = w
self.c1 = c1
self.c2 = c2
def factory(self):
result = list()
for _ in range(1, self.particle_count):
x = (
random.random() * 10
if random.random() > 0.5
else -random.random() * 10
)
y = (
random.random() * 10
if random.random() > 0.5
else -random.random() * 10
)
z = (
random.random() * 10
if random.random() > 0.5
else -random.random() * 10
)
result.append(Particle(x, y, z))
return result
def fitness(self, x, y, z: float):
return (
(x ** 5) - ((x ** 2) * y * z) + (z * x) + (y ** 2) - (z ** 3) - 10
)
def doRround(self):
roundBest_x = float()
roundBest_y = float()
roundBest_z = float()
for particle in self.Particles:
if abs(self.fitness(roundBest_x, roundBest_y, roundBest_z)) > abs(
self.fitness(particle.x, particle.y, particle.z)
):
roundBest_x = particle.x
roundBest_y = particle.y
roundBest_z = particle.z
self.Gbest_x = roundBest_x
self.Gbest_y = roundBest_y
self.Gbest_z = roundBest_z
for particle in self.Particles:
particle.doRound(
self.w,
self.c1,
self.c2,
self.Gbest_x,
self.Gbest_y,
self.Gbest_z,
self.fitness,
)
def printGlobalBest(self):
print(
"x: %s, y: %s, z: %s, fitness: %s"
% (
self.Gbest_x,
self.Gbest_y,
self.Gbest_z,
self.fitness(self.Gbest_x, self.Gbest_y, self.Gbest_z),
),
)
def main():
random.seed(time.time())
round_count = 10
pso = PSO(5, 1.5, 1.5, 50)
for _ in range(1, round_count):
pso.doRround()
pso.printGlobalBest()
if __name__ == "__main__":
main()
|
