behnambm

package main

func main() {
	counter := 0
	for {
		counter++
	}
}

behnambm

import random

# Define the number of jobs and their processing times
NUM_JOBS = 5
processing_times = [10, 6, 8, 7, 3]  # Example processing times for each job

# Genetic Algorithm parameters
POPULATION_SIZE = 50
NUM_GENERATIONS = 100
CROSSOVER_RATE = 0.8

behnambm

import math
import threading
import tkinter as tk
import numpy as np
from numpy import random


class TravelingSalesmanProblem:
    def __init__(self, num_cities):
        # Define the number of cities

behnambm

import random
import numpy as np


# Define the distance matrix between cities
# In this example, we generate random distances for demonstration purposes
def generate_distance_matrix(num_cities):
    distances = np.random.randint(10, 100, size=(num_cities, num_cities))
    np.fill_diagonal(distances, 0)  # Diagonal elements are zero
    return distances