def runAntSystem(pop_multiplier, alpha, beta, evaporation_rate, execution):
dist = readDistFile(instance)
ant_system = AntSystem(dist, len(dist) * pop_multiplier, ITERATIONS, alpha, beta, evaporation_rate, Q)
ant_system.initPheromone()
ant_system.initAnts()
for t in range(ant_system.iterations):
best_evaluation_iter = float('inf')
for ant in ant_system.population:
while (len(ant.solution) < ant_system.node_count):
ant_system.goToNextNode(ant)
ant.solution.append(ant.solution[0])
ant.evaluation = ant_system.calculateFO(ant.solution)
if (ant.evaluation < best_evaluation_iter):
best_evaluation_iter = ant.evaluation
if (ant.evaluation < ant_system.best_evaluation):
ant_system.best_solution = ant.solution
ant_system.best_evaluation = ant.evaluation
fileOperations(best_evaluation_iter, pop_multiplier, alpha, beta, evaporation_rate, execution, 0)
ant_system.pheromoneUpdate()
ant_system.restartAnts()
fileOperations(ant_system.best_evaluation, pop_multiplier, alpha, beta, evaporation_rate, execution, 1)
from AntSystem import *
instanceFile = 'LAU15.txt' if len(argv) < 2 else argv[1]
dist = readDistFile(instanceFile)
ant_system = AntSystem(dist,
len(dist) * POP_MULTIPLIER, ITERATIONS, ALPHA, BETA,
EVAPORATION_RATE, Q)
ant_system.initPheromone()
ant_system.initAnts()
for t in range(ant_system.iterations):
best_evaluation_iter = float('inf')
for ant in ant_system.population:
while (len(ant.solution) < ant_system.node_count):
ant_system.goToNextNode(ant)
ant.solution.append(ant.solution[0])
ant.evaluation = ant_system.calculateFO(ant.solution)
if (ant.evaluation < best_evaluation_iter):
best_evaluation_iter = ant.evaluation
if (ant.evaluation < ant_system.best_evaluation):
ant_system.best_solution = ant.solution
ant_system.best_evaluation = ant.evaluation
print(f'Best evaluation of iteration {t}: {best_evaluation_iter}')
ant_system.pheromoneUpdate()
ant_system.restartAnts()
