GET_WEIGHTS = False
results = Results()
#results.load(results_file)
if GET_WEIGHTS == True:
# Get best combination of weights
inertia_weights = [0.5, 0.8, 1]
cognitive_weights = [0.5, 1, 2.05, 4]
social_weights = [0.5, 1, 2.05, 4]
for inertia_weight in inertia_weights:
for cognitive_weight in cognitive_weights:
for social_weight in social_weights:
constants.INERTIA_WEIGHT = inertia_weight
constants.COGNITIVE_WEIGHT = cognitive_weight
constants.SOCIAL_WEIGHT = social_weight
print(inertia_weight, cognitive_weight, social_weight)
# 30 experiments on a fixed population + statistics
experiment = Experiment(griewangk, constants)
max_value, min_value, mean_value = experiment.run_experiment(
30)
print('Min = ', min_value, " Max = ", max_value,
" Mean = ", mean_value)
results.add("griewangk", -1, constants, min_value,
max_value, mean_value)
else:
weight_combinations = [(0.5, 0.50, 4.00), (0.5, 1.00, 4.00)]