return True # if it has exited the loop, the genes are valid
if __name__ == '__main__':
# Test of the GA's performance over CEC2005's F3
import time
from optproblems import cec2005
bounds = [ [-100 for i in range(10)], [100 for i in range(10)] ] # 10-dimensional sphere (optimum: 0)
start = time.time()
# Initialization
es = CMAES(cec2005.F3(10), bounds, crit="min", optimum=-450, tol=1e-08)
es.execute()
results = es.results
print("CMA-ES: for criterion = " + es.crit + ", reached optimum of " + str(results["minFits"][-1]) +
" (error of " + str(results["errors"][-1]) + ") (points " + str(results["minPoints"][-1]) + ") with " + str(results["generations"][-1]) + " generations" +
" and " + str(results["FESCounts"][-1]) + " fitness evaluations" )
end = time.time()
print("time:" + str(end - start))
# import sys
# sys.path.append("../../cec2014/python") # Fedora
# # sys.path.append("/mnt/c/Users/Lucas/Documents/git/cec2014/python") # Windows
# import cec2014
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"] )
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"