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def calculate_interference(routers): interference = 0.0 for i in range(len(routers)): for j in range(i + 1, len(routers)): router1 = routers[i] router2 = routers[j] # Calculate the squared Euclidean distance between routers distance_squared = (router1.x - router2.x)**2 + (router1.y - router2.y)**2 # Calculate the inverse of squared distance as a measure of interference # Higher values of distance_squared result in lower interference # Use a constant factor to scale the value as needed inverse_distance_squared = 1.0 / distance_squared # Add the interference caused by this router pair to the total interference += inverse_distance_squared return interference def calculate_coverage(routers, clients): covered_clients = 0 for client in clients: for router in routers: distance = ((client.x - router.x)**2 + (client.y - router.y)**2)**0.5 if distance <= router.radius: covered_clients += 1 break # This client is covered, move to the next client coverage = covered_clients / len(clients) return coverage def calculate_load_balancing(routers): # Calculate the number of clients connected to each router clients_per_router = [0] * len(routers) for client in clients: min_distance = float('inf') closest_router_index = -1 for i, router in enumerate(routers): distance = ((client.x - router.x)**2 + (client.y - router.y)**2)**0.5 if distance <= router.radius and distance < min_distance: min_distance = distance closest_router_index = i if closest_router_index != -1: clients_per_router[closest_router_index] += 1 # Calculate the standard deviation of clients per router mean_clients = sum(clients_per_router) / len(clients_per_router) load_balancing = (sum((x - mean_clients)**2 for x in clients_per_router) / len(clients_per_router))**0.5 return load_balancing def calculate_fitness(routers, clients, weight_interference, weight_coverage, weight_load_balancing): # Calculate interference based on router locations interference = calculate_interference(routers) # Calculate coverage and load balancing (you can implement these) coverage = calculate_coverage(routers, clients) load_balancing = calculate_load_balancing(routers) # Combine the components with weights to calculate overall fitness fitness = ( weight_interference * interference + weight_coverage * coverage + weight_load_balancing * load_balancing ) return fitness