MH-P2/src/main.py

92 lines
2.6 KiB
Python
Executable File

from preprocessing import parse_file
from genetic_algorithm import genetic_algorithm
from memetic_algorithm import memetic_algorithm
from sys import argv
from time import time
from itertools import combinations
from argparse import ArgumentParser
def execute_algorithm(args, n, m, data):
if args.algorithm == "genetic":
return genetic_algorithm(
n,
m,
data,
select_mode=args.selection,
crossover_mode=args.crossover,
max_iterations=100,
)
else:
return memetic_algorithm(
n,
m,
data,
hybridation=args.hybridation,
max_iterations=100,
)
def get_row_distance(source, destination, data):
row = data.query(
"""(source == @source and destination == @destination) or \
(source == @destination and destination == @source)"""
)
return row["distance"].values[0]
def get_fitness(solutions, data):
counter = 0
comb = combinations(solutions.index, r=2)
for index in list(comb):
elements = solutions.loc[index, :]
counter += get_row_distance(
source=elements["point"].head(n=1).values[0],
destination=elements["point"].tail(n=1).values[0],
data=data,
)
return counter
def show_results(solutions, fitness, time_delta):
duplicates = solutions.duplicated().any()
print(solutions)
print(f"Total distance: {fitness}")
if not duplicates:
print("No duplicates found")
print(f"Execution time: {time_delta}")
def usage(argv):
print(f"Usage: python {argv[0]} <file> <algorithm choice> <")
print("algorithm choices:")
print("genetic: genetic algorithm")
print("memetic: memetic algorithm")
exit(1)
def parse_arguments():
parser = ArgumentParser()
parser.add_argument("file", help="dataset of choice")
subparsers = parser.add_subparsers(dest="algorithm")
parser_genetic = subparsers.add_parser("genetic")
parser_memetic = subparsers.add_parser("memetic")
parser_genetic.add_argument("crossover", choices=["uniform", "position"])
parser_genetic.add_argument("selection", choices=["generational", "stationary"])
parser_memetic.add_argument("hybridation", choices=["all", "random", "best"])
return parser.parse_args()
def main():
args = parse_arguments()
n, m, data = parse_file(args.file)
start_time = time()
solutions = execute_algorithm(args, n, m, data)
end_time = time()
fitness = get_fitness(solutions, data)
show_results(solutions, fitness, time_delta=end_time - start_time)
if __name__ == "__main__":
main()