popSize = 30
bounds = [-100, 100]
optimum = -310
selection_pressure = .9
archive_size = popSize
evaporation_rate = 0.7
nrSample = 10
parameters = {"selection_pressure": selection_pressure, "archive_size":archive_size,
"evaporation_rate": evaporation_rate, "nrSample": nrSample}
function_name = "F5"
savePathParameters = Path("plots/acor_parameters.csv")
savePathReporter = Path("plots/acor_statistics_10.csv")
savePathEvolution = Path("plots/%s_acor_evolution_error.csv"%(function_name))
f1 = cec2005.F5(dim)
n_runs = 25
error_list = []
error_evolution_list = []
fes_list = []
success_count = 0
for i in range(n_runs):
ant_colony = ACOR(f1, popSize, dim, bounds, parameters, optimum=optimum)
error, success, error_evolution, fes = ant_colony.run(show_info=True)
error_list.append(error)
error_evolution_list.append(error_evolution)
fes_list.append(fes)
success_count += success
success_rate = success_count/n_runs
print(fes_list, error_evolution_list)
from models import ArtificialBeeColony
from optproblems import cec2005
from os import makedirs
import statistics
import csv
if __name__ == '__main__':
dims = 10
bounds = [[-100 for i in range(dims)], [100 for i in range(dims)]]
functions = [
cec2005.F1(dims),
cec2005.F2(dims),
cec2005.F3(dims),
cec2005.F4(dims),
cec2005.F5(dims)
]
optimums = [-450, -450, -450, -450, -310]
FESThresholds = [
0, 0.001, 0.01, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1
]
numRuns = 25
# Creating result path
pathName = "Results/ABC"
makedirs(pathName, exist_ok=True)
# Initializing result files
tableFileName = pathName + "/ABC_" + str(dims) + "D.csv"
from models import AdaptiveGA
from optproblems import cec2005
from os import makedirs
import statistics
import csv
if __name__ == '__main__':
dims = 10
bounds = [ [-100 for i in range(dims)], [100 for i in range(dims)] ]
functions = [ cec2005.F1(dims), cec2005.F2(dims), cec2005.F3(dims), cec2005.F4(dims), cec2005.F5(dims)]
optimums = [-450, -450, -450, -450, -310]
FESThresholds = [0, 0.001, 0.01, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1]
numRuns = 25
# Creating result path
pathName = "Results/AGA"
makedirs(pathName, exist_ok=True)
# Initializing result files
tableFileName = pathName + "/AGA_" + str(dims) + "D.csv"
with open(tableFileName, "w") as resultsFile:
writer = csv.writer(resultsFile, delimiter = ',')
writer.writerow( ["Fi_10D", "Best", "Worst", "Median", "Mean", "Std_Dev", "Success_Rate"] )
def evaluate(self, x):
f1 = cec2005.F5(self.dim)
self.count_fes += 1
return f1(x)