the suboprocesses are running and the algorithm is functionning to optimize the function it is given

SourceCode/SampleAlgorithms/SimmulatedAnnealing.py

@@ -0,0 +1,81 @@
+import math as m
+import numpy as np
+from numpy import random as r
+import time
+import matplotlib.pyplot as plt
+from mpl_toolkits import mplot3d
+import copy as cp
+
+
+#def func(Sc):
+#    x1 = Sc[0]
+#    x2 = Sc[1]
+#    return m.sqrt(x1**2+x2**2)
+
+def tweak(St,p,sigma,high,low):
+    for i in range(len(St)):
+        if p > r.random():
+            while True:
+                n = r.normal(loc=0, scale=sigma)
+                if (high > St[i]+n) and (low < St[i]+n):
+                    St[i]+=n
+                    break
+    return St
+
+def Quality(Sc,objective,func):
+    func_output = func.main(Sc)
+    if type(func_output) == list:
+        error = [func_output[i]-objective[i] for i in range(len(func_output))]
+    else:
+        error = func_output - objective
+    return 1/abs(error)
+
+def main(func,obj,S,args):
+    r.seed(int(time.time()))
+    route = list()
+    #Parsing arguments
+    y = obj
+    high = args["high"]
+    low = args["low"]
+    t = args["t"]
+    p = args["p"]
+    
+    Best = list()
+    Best[:] = cp.deepcopy(S)
+    sigma = 0.1
+    route.append(Best[:])
+    while True:
+        print('\n\n\n')
+        R = tweak(cp.deepcopy(S),p,sigma,high,low)
+        print(R)
+        print(S)
+        Qr = Quality(R,y,func)
+        Qs = Quality(S,y,func)
+        try:
+            P = m.e**((Qr-Qs)/t)
+        except:
+            pass
+        print('QUALITY_R///{}'.format(Qr))
+        print('QUALITY_S///{}'.format(Qs))
+        print('fraction is:{}'.format(P))
+        if (Qr > Qs) or (r.random() < P):
+            print('NEW_S')
+            S[:] = R[:]
+        if t > 0.01:
+            t-= t/10
+        print('t = {}'.format(t))
+        
+        if (Quality(S,y,func) > Quality(Best,y,func)):
+            print('new Best****:{}'.format(Best))
+            Best[:] = S[:]
+            route.append(Best[:])
+            print(route)
+            
+        if t < 0 or Quality(Best,y,func) > 200:
+            break
+    #print('the Best Quality obtained was:{}'.format(Quality(Best,y)))
+    return Best
+
+
+
+