results = helper.calculateResults(population, matrix,
ecuaParms.divisor)
# 2.- Create graph
helper.createGraphs(population, results, matrix, ecuaParms)
minError = min(results)
mutationP = ecuaParms.mutationPercent
# 3.- Iterate
for i in range(ecuaParms.iterations):
chosenParents = helper.getChosenParents(population, results,
ecuaParms.percent, ecuaParms.parentNum)
population = helper.bitExchangeReproduction(population,
chosenParents, ecuaParms.parentNum, ecuaParms.bits)
helper.mutation(population, mutationP, ecuaParms.bits)
results = helper.calculateResults(population, matrix,
ecuaParms.divisor)
newMinError = min(results)
if(minError == newMinError):
#mutationP = 20
helper.addRandomnes_1(population, ecuaParms)
#results = helper.calculateResults(population, matrix, ecuaParms.divisor)
minError = newMinError
helper.updateGraphs(i + 1, population, results, matrix, ecuaParms)
# Get best matrix to graph
bestChrom = helper.divideByFactor(population[minInd], 51)
zBestChrom = helper.aptitudFunction(bestChrom, x, y)
# 3D printing
#print(zBestChrom)
fig = plt.figure(figsize=plt.figaspect(0.5))
ax = helper.graph3D(fig, x, y, zResult, zBestChrom, results[minInd])
acumError = results[minInd]
# 3.- Iterate
for i in range(iterations):
chosenParents = helper.getChosenParents(population, results,
tournamentPercent, 2)
population = helper.bitExchangeReproduction(population, chosenParents, 2,
8)
helper.mutation(population, mutationPercent, 8)
results = helper.calculateResults(x, y, population, zResult, 51)
minInd = results.index(min(results))
# Get best matrix to graph
bestChrom = helper.divideByFactor(population[minInd], 51)
zBestChrom = helper.aptitudFunction(bestChrom, x, y)
helper.updateGraph3D(ax, x, y, zBestChrom, results[minInd])
print("Iteration:", i, "Error:", results[minInd])
#print(bestChrom)
if (acumError == results[minInd]):
addChrom = helper.createPopulation(39, 5)
child_3 = helper.flipBits(parent_1, parent_2, 48, 8)
print("position:", 48, child_3)
child_4 = helper.flipBits(parent_1, parent_2, 20, 8)
print("position:", 20, child_4)
# Test 'getBestInTournament'
print("Testing getBestInTournament")
testErrors = [12, 23, 24, 54, 9, 2, 43, 31, 59, 100, 121, 38]
print("errors:", testErrors)
print("5%:", helper.getBestInTournament(testErrors, 5))
print("3%:", helper.getBestInTournament(testErrors, 3))
print("2%:", helper.getBestInTournament(testErrors, 2))
print("1%:", helper.getBestInTournament(testErrors, 1))
# Test 'bitExchangeReproduction'
print("Testing bitExchangeReproduction")
results = helper.calculateResults(population, matrix, 3)
helper.printPopulation(population, results)
chosen = helper.getChosenParents(population, results, 5, 2)
print("chosen parents:", chosen)
newPopulation = helper.bitExchangeReproduction(population, chosen, 2, 8)
newResults = helper.calculateResults(newPopulation, matrix, 3)
helper.printPopulation(newPopulation, newResults)
# Test 'mutation'
print("Testing mutation")
mutationPopulation = [[1, 2, 3, 4], [32, 45, 65, 76], [109, 209, 250, 199]]
print(mutationPopulation)
helper.mutation(mutationPopulation, 2, 8)
print(mutationPopulation)