SOURCE CODE import numpy as np import tkinter as tk import matplotlib.pyplot as plt from tkinter import messagebox def initialization (PopSize,D,LB,UB): SS_Boundary = len(LB) if isinstance(UB,(list,np.ndarray)) else 1 if SS_Boundary ==1: Positions = np.random.rand(PopSize,D)*(UB-LB)+LB else: Positions = np.zeros((PopSize,D)) for i in range(D): Positions[:,i]=np.random.rand(PopSize)*(UB[i]-LB[i])+LB[i] return Positions def GWO(PopSize,MaxT,LB,UB,D,Fobj): Alpha_Pos = np.zeros(D) Alpha_Fit = np.inf Beta_Pos = np.zeros(D) Beta_Fit = np.inf Delta_Pos = np.zeros(D) Delta_Fit = np.inf Positions = initialization(PopSize,D,UB,LB) Convergence_curve = np.zeros(MaxT) l = 0 while l<MaxT: for i in range (Positions.shape[0]): BB_UB = Positions[i,:]>UB BB_LB = Positions[i,:]<LB Positions[i,:] = (Positions[i,:]*(~(BB_UB+BB_LB)))+UB*BB_UB+LB*BB_LB
