def main():
population_size = 100
dimension = 30
range0 = -100
range1 = 100
max_ep = 500
fitness_selector = Fitness_Selector()
fitness_function = fitness_selector.chose_function('C1')
population = [np.random.uniform(range0, range1, dimension) for _ in range(population_size)]
SLnO = Modified_Sea_Lion_Optimization(fitness_function, dimension, population_size, population, range0,
range1, max_ep)
SLnO.run()
function_evaluation = population_size * max_ep
combination = [
fitness_function_name, dimension, range0,
range1, population_size, abandonment_limit,
max_ep, function_evaluation
]
# if 30000 >= function_evaluation >= 25000:
combinations.append(combination)
for combination in combinations:
fitness_function_name = combination[0]
dimension = combination[1]
range0 = combination[2]
range1 = combination[3]
population_size = combination[4]
abandonment_limit = combination[5]
max_ep = combination[6]
fitness_selector = Fitness_Selector()
fitness_function = fitness_selector.chose_function(
fitness_function_name)
population = [
np.random.uniform(range0, range1, dimension)
for _ in range(population_size)
]
ABC = ArtificialBeeColony(fitness_function, dimension, population_size,
population, range0, range1, max_ep)
ABC.run()