import SwarmPackagePy
from SwarmPackagePy import testFunctions as tf
from SwarmPackagePy import animation, animation3D
alh = SwarmPackagePy.abfo1(100, tf.easom_function, -10, 10, 2, 20, 16, 4, 2,
12, 0.1, 0.25, 400)
animation(alh.get_agents(), tf.easom_function, -10, 10)
animation3D(alh.get_agents(), tf.easom_function, -10, 10)
#SwarmPackagePy.bfo(n, function, lb, ub, dimension, iteration, Nc, Ns, C, Ped)
print('Optimum Allocation : ', revf.OptAlloc)
#print('Max Revenue : ',revf.OptAlloc)
fits = alh._get_jfits()
plt.plot(fits, 'b', label='J-fit')
jcclist = alh._get_jcclist()
plt.plot(jcclist, 'r', label='J-cc')
jarlist = alh._get_jarlist()
plt.plot(jarlist, 'g', label='J-ar')
jlist = alh._get_jlist()
plt.plot(jlist, 'y', label='J')
jblist = alh._get_jblist()
plt.plot(jblist, 'p', label='J-best')
plt.legend()
plt.show()
# plt.pause(0.001)
# plt.subplot(2, 1, 2)
steps = alh._get_csteps()
# print(steps)
plt.plot(steps)
plt.show()
animation(alh.get_agents(), f, 0, r, dim)
animation3D(alh.get_agents(), f, 0, r, dim)
#animation3D(alh.get_agents(), tf.easom_function, -10, 10)
#alh = SwarmPackagePy.abfoa2(20, tf.gaussian_function, -10, 10, 2, 20, 16, 4, 2, 12, 0.9, 0.25, 0.1)
#animation(alh.get_agents(), tf.gaussian_function, -10, 10)
#animation3D(alh.get_agents(), tf.gaussian_function, -10, 10)
alh = SwarmPackagePy.abfoa2(100, tf.thriple_gaussian_function_positive, -10, 10, 50, 20, 16, 4, 2, 12, 0.9, 0.25, 1)
steps = alh._get_csteps()
print(steps)
plt.plot(steps)
plt.ylabel('Step Size')
#plt.show()
jlist = alh._get_jlist()
print(jlist)
#plt.plot(jlist,'r')
plt.show()
animation(alh.get_agents(), tf.thriple_gaussian_function_positive, -10, 10)
animation3D(alh.get_agents(), tf.thriple_gaussian_function_positive, -10, 10)
"""
alh = SwarmPackagePy.abfoa2(100, tf.thriple_wide_gaussian_function, -50, 50, 2, 20, 16, 4, 2, 12, 0.9, 0.25, 0.1)
animation(alh.get_agents(), tf.thriple_wide_gaussian_function, -50, 50)
animation3D(alh.get_agents(), tf.thriple_wide_gaussian_function, -50, 50)
"""
#SwarmPackagePy.bfo(n, function, lb, ub, dimension, iteration, Nc, Ns, C, Ped)
from SwarmPackagePy import testFunctions as tf from SwarmPackagePy import animation, animation3D eval_function = [ tf.ackley_function, ] """ tf.ackley_function, tf.bukin_function, tf.cross_in_tray_function, tf.sphere_function, tf.bohachevsky_function, tf.sum_squares_function, tf.sum_of_different_powers_function, tf.booth_function, tf.matyas_function, tf.mccormick_function, tf.dixon_price_function, tf.six_hump_camel_function, tf.three_hump_camel_function, tf.easom_function, tf.michalewicz_function, tf.beale_function, tf.drop_wave_function ] """ for func in eval_function: alh = SwarmPackagePy.aba(50, func, -10, 10, 2, 20) animation(alh.get_agents(), func, -10, 10) animation3D(alh.get_agents(), func, -10, 10)
import SwarmPackagePy
from SwarmPackagePy import testFunctions as tf
from SwarmPackagePy import animation, animation3D
#alh = SwarmPackagePy.pso(50, tf.easom_function, -10, 10, 2, 20,w=0.5, c1=1, c2=1)
#alh = SwarmPackagePy.bfo(n, function, lb, ub, dimension, iteration, Nc, Ns, C, Ped)
#alh = SwarmPackagePy.bfo_with_swarm(20, tf.easom_function, -30, 30, 2, 10, 2, 12, 0.2, 1.15, 0.1, 0.2, 0.1, 10)
alh = SwarmPackagePy.bfo_with_env_swarm(50, tf.easom_function, -30, 30, 3, 30,
100, 4, 0.1, 0.25, 0.1, 0.2, 0.1, 10,
0)
animation3D(alh.get_agents(), tf.easom_function, -50, 50)
animation3D(alh.get_agents(), tf.easom_function, -50, 50)
#SwarmPackagePy.bfo(n, function, lb, ub, dimension, iteration, Nc, Ns, C, Ped)
import SwarmPackagePy
from SwarmPackagePy import testFunctions as tf
from SwarmPackagePy import animation, animation3D
#alh = SwarmPackagePy.pso(50, tf.easom_function, -10, 10, 2, 20,w=0.5, c1=1, c2=1)
#alh = SwarmPackagePy.bfo(n, function, lb, ub, dimension, iteration, Nc, Ns, C, Ped)
#alh = SwarmPackagePy.bfo_with_swarm(20, tf.easom_function, -30, 30, 2, 10, 2, 12, 0.2, 1.15, 0.1, 0.2, 0.1, 10)
alh = SwarmPackagePy.bfo_with_env_swarm(50, tf.sphere_function, -30, 30, 3, 30,
100, 4, 0.1, 0.25, 0.1, 0.2, 0.1, 10,
0)
animation(alh.get_agents(), tf.sphere_function, -50, 50)
animation3D(alh.get_agents(), tf.sphere_function, -50, 50)
#SwarmPackagePy.bfo(n, function, lb, ub, dimension, iteration, Nc, Ns, C, Ped)
jarlist = alh._get_jarlist() jlist = alh._get_jlist() plt.plot(jlist, 'y', label='J') jblist = alh._get_jblist() plt.plot(jblist, 'g', label='J-best') plt.legend() plt.show() #plt.pause(0.001) #plt.subplot(2, 1, 2) steps = alh._get_csteps() #print(steps) plt.plot(steps) plt.show() animation(alh.get_agents(), f, -r, r) animation3D(alh.get_agents(), f, -r, r) """" alh = SwarmPackagePy.bfoa_swarm1(50, tf.f1_sphere_function, -10, 10, 2, 100, 16, 4, 2, 12, 0.1, 0.25, 0.1, 0.2, 0.1, 10,400 ) animation(alh.get_agents(), tf.f1_sphere_function, -10, 10) animation3D(alh.get_agents(), tf.f1_sphere_function, -10, 10) """ """ alh = SwarmPackagePy.bfoa_swarm1(100, tf.f1_sphere_function, -32, 32, 30, 100, 24, 8, 8, 12, 0.1, 0.25, 0.1, 0.2, 0.1, 10,400 ) animation(alh.get_agents(), tf.f1_sphere_function, -32, 32) animation3D(alh.get_agents(), tf.f1_sphere_function, -32, 32) """
while chooseFunction != 4:
if chooseFunction == 1:
print("=== Three-hump camel function ===")
alh = SwarmPackagePy.pso(50,
tf.three_hump_camel_function,
-5,
5,
20,
100,
w=0.5,
c1=1,
c2=1)
print(alh.get_Gbest())
animation3D(alh.get_agents(), tf.three_hump_camel_function, -5, 5)
elif chooseFunction == 2:
print("=== Booth function ===")
alh = SwarmPackagePy.pso(50,
tf.booth_function,
-10,
10,
20,
100,
w=0.5,
c1=1,
c2=1)
print(alh.get_Gbest())
animation3D(alh.get_agents(), tf.booth_function, -10, 10)
#plt.show()
steps = alh._get_csteps()
#print('steps')
#print(steps)
#plt.plot(steps,'g', label='J-ar')
#plt.show()
jlist = alh._get_jlist()
#print('jlist')
#print(jlist)
plt.plot(jlist,'y', label='J')
#plt.show()
jblist = alh._get_jblist()
#print(jblist)
plt.plot(jblist,'g', label='J-Best')
plt.legend()
plt.show()
steps = alh._get_csteps()
#print(steps)
plt.plot(steps)
plt.show()
animation(alh.get_agents(), tf.f3_ackley_function, -32, 32)
animation3D(alh.get_agents(), tf.f3_ackley_function, -32, 32)
#SwarmPackagePy.bfo(n, function, lb, ub, dimension, iteration, Nc, Ns, C, Ped)
import SwarmPackagePy as sw
from SwarmPackagePy import testFunctions as tf
from SwarmPackagePy import animation, animation3D
import numpy as np
sw._version_
swarm_strength = np.random.random_integers(25, 55)
print("Swarm strength =", swarm_strength)
firefly = sw.fa(n=swarm_strength,
function=tf.sum_squares_function,
lb=-10,
ub=10,
dimension=2,
psi=2,
iteration=50)
animation(firefly.get_agents(), tf.sum_squares_function, -10, 10)
animation3D(firefly.get_agents(), tf.sum_squares_function, -10, 10)
import SwarmPackagePy from SwarmPackagePy import testFunctions as tf from SwarmPackagePy import animation, animation3D alh = SwarmPackagePy.swarm(50, tf.ackley_function, -5, 5, 3, 30) animation(alh.get_agents(), tf.ackley_function, -5, 5) animation3D(alh.get_agents(), tf.ackley_function, -5, 5)
import SwarmPackagePy
from SwarmPackagePy import testFunctions as tf
from SwarmPackagePy import animation, animation3D
# alh = SwarmPackagePy.bfoa(100, tf.easom_function, -10, 10, 2, 20, 16, 4, 2, 12, 0.1, 0.25, 400 )
# animation(alh.get_agents(), tf.easom_function, -10, 10)
# animation3D(alh.get_agents(), tf.easom_function, -10, 10)
#alh = SwarmPackagePy.bfoa(100, tf.easom_function, -10, 10, 50, 100, 16, 4, 2, 12, 0.1, 0.25, 400 )
#animation(alh.get_agents(), tf.easom_function, -20, 20)
#animation3D(alh.get_agents(), tf.easom_function, -20, 20)
#alh = SwarmPackagePy.bfoa(100, tf.multiple_gaussian_function, -20, 20, 50, 100, 16, 4, 2, 12, 0.1, 0.25, 400 )
#animation(alh.get_agents(), tf.multiple_gaussian_function, -20, 20)
#animation3D(alh.get_agents(), tf.multiple_gaussian_function, -20, 20)
alh = SwarmPackagePy.bfoa(100, tf.thriple_gaussian_function_codegen, -10, 10,
50, 100, 16, 4, 2, 12, 0.1, 0.25, 400)
animation(alh.get_agents(), tf.thriple_gaussian_function_codegen, -10, 10)
animation3D(alh.get_agents(), tf.thriple_gaussian_function_codegen, -10, 10)
#SwarmPackagePy.bfo(n, function, lb, ub, dimension, iteration, Nc, Ns, C, Ped)
