def generateInitialTripListPopulation(gift_list,initial_population_size):
count = 0
trip_list = list([])
master_trip_population = list([])
gift_trip_list = list([])
while count < initial_population_size:
random.shuffle(gift_list)
total_weight = 0
i = 0
trip_list = list([])
while i < len(gift_list):
while i < len(gift_list) and (total_weight + gift_list[i].weight) <= SLEIGH_CAPACITY:
gift_trip_list.append(gift_list[i])
total_weight = total_weight + gift_list[i].weight
i = i + 1
trip_order = Trip(gift_trip_list,SantaUtil.tripCost(gift_trip_list))
total_weight = 0
gift_trip_list = list([])
trip_list.append(trip_order)
count = count+1
master_trip_population.append(trip_list)
return master_trip_population
def generateBestSolution(initial_population,ordered_fitness_list,max_iterations):
iteration = 0
while iteration < max_iterations:
iteration = iteration + 1
gift_mutation = random.random()
best_solution_index = ordered_fitness_list[0][0]
best_solution_cost = ordered_fitness_list[0][1]
count = 0
while count <= 10:
count = count + 1
if gift_mutation >= GIFT_MUTATION_PROBABILITY:
gene_index = random.randint(len(initial_population)-TOP_K-1,len(initial_population)-1)
chosen_trip_index = ordered_fitness_list[gene_index][0]
chosen_trip_list = initial_population[chosen_trip_index]
index,chosen_trip = SantaUtil.maximumTripCost(chosen_trip_list)
swapped_gift_list = SantaUtil.mutateGiftList(chosen_trip.gift_list)
temp_trip_cost = SantaUtil.tripCost(swapped_gift_list)
if temp_trip_cost < chosen_trip.trip_cost:
chosen_trip.gift_list = swapped_gift_list
initial_population[chosen_trip_index] = chosen_trip
ordered_fitness_list = SantaUtil.sortPopulationByFitness(initial_population)
if gift_mutation < GIFT_MUTATION_PROBABILITY:
gene_index = random.randint(0,TOP_K+1)
chosen_trip_index = ordered_fitness_list[gene_index][0]
chosen_trip_list = initial_population[chosen_trip_index]
index,chosen_trip = SantaUtil.maximumTripCost(chosen_trip_list)
swapped_gift_list = SantaUtil.mutateGiftList(chosen_trip.gift_list)
temp_trip_cost = SantaUtil.tripCost(swapped_gift_list)
if temp_trip_cost < chosen_trip.trip_cost:
chosen_trip.gift_list = swapped_gift_list
initial_population[chosen_trip_index] = chosen_trip
ordered_fitness_list = SantaUtil.sortPopulationByFitness(initial_population)
return best_solution_index,best_solution_cost
import time import pandas as pd import SantaUtil SLEIGH_CAPACITY = 1000 INTIAL_POPULATION_SIZE = 100 MAX_ITERATIONS = 10000 TOP_K = 10 random.seed(time.time()) gift_filename = "Santa's Stolen Sleigh/gifts.csv" GIFT_MUTATION_PROBABILITY = 0.7 TRIP_CROSSOVER_PROBABILITY = 0.67 #These can be rather should be fine-tuned for hyperparameter optimization start = time.time() print "Initiating Dataset Loading ...." gift_list = SantaUtil.getGiftList(gift_filename) end = time.time() print "Time Taken to load dataset : ",end-start """ Generates the initial population of trip routes to be taken Params: -------- gift_list: List containing the list of gifts to be delivered initial_population_size: Integer containing the number of initial populations to be generated Returns: A List of trips denoting the order in which the gifts are to be delivered """ def generateInitialTripListPopulation(gift_list,initial_population_size):
