From 154c19da6dfeaeb4e3c4ed0462b450a969257808 Mon Sep 17 00:00:00 2001
From: mariosky <mariosky@gmail.com>
Date: Thu, 16 Mar 2017 14:54:27 -0700
Subject: [PATCH] EvoloPy as Module

---
 .gitignore  |  2 ++
 GWO.py      | 12 ++++++++----
 __init__.py |  0
 3 files changed, 10 insertions(+), 4 deletions(-)
 create mode 100644 __init__.py

diff --git a/.gitignore b/.gitignore
index 29aab1e..5524191 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,4 @@
 *~
 __pycache__/
+
+.pyc
diff --git a/GWO.py b/GWO.py
index 8a96fab..966ec8a 100644
--- a/GWO.py
+++ b/GWO.py
@@ -12,9 +12,8 @@
 import time
 
 
-    
 
-def GWO(objf,lb,ub,dim,SearchAgents_no,Max_iter):
+def GWO(objf,lb,ub,dim,SearchAgents_no,Max_iter, Positions = None ):
     
     
     #Max_iter=1000
@@ -22,6 +21,7 @@ def GWO(objf,lb,ub,dim,SearchAgents_no,Max_iter):
     #ub=100
     #dim=30  
     #SearchAgents_no=5
+
     
     # initialize alpha, beta, and delta_pos
     Alpha_pos=numpy.zeros(dim)
@@ -34,8 +34,12 @@ def GWO(objf,lb,ub,dim,SearchAgents_no,Max_iter):
     Delta_score=float("inf")
     
     #Initialize the positions of search agents
-    Positions=numpy.random.uniform(0,1,(SearchAgents_no,dim)) *(ub-lb)+lb
-    
+    if not Positions is None:
+        Positions=numpy.random.uniform(0,1,(SearchAgents_no,dim)) *(ub-lb)+lb
+
+    print Positions
+
+
     Convergence_curve=numpy.zeros(Max_iter)
     s=solution()
 
diff --git a/__init__.py b/__init__.py
new file mode 100644
index 0000000..e69de29