def incSin():
title = "Increasing Sin -- f(x) = sin(4x) + x"
def f(x): return tf.add(tf.sin(x), x)
I = IOA(f, 1)
final, digest = I.optimize("max", epochs = 100, learn_rate = .1, error_tolerance = .15,
restrictions = {}, debug = True, debug_interval = 1,
rangeGradientScalar = 1e11, gradientTolerance = 9e-6,
returnDigest = True, digestInterval = 1, title = title)
saveDigests(digest, "Records/IncreasingSin.ioa")
def surface1():
title = "Surface #1 -- f(x, y) = (x - 2) ^ 2 + (y + 3) ^ 2"
def f(x): return tf.add(tf.pow(tf.add(x[0][0], -2), 2), tf.pow(tf.add(x[0][1], 3), 2))
I = IOA(f, 2)
final, digest = I.optimize("min", epochs = -1, learn_rate = .1, error_tolerance = .15,
restrictions = {}, debug = True, debug_interval = -1,
rangeGradientScalar = 1e11, gradientTolerance = 1e-6,
startPreset = [], returnDigest = True, digestInterval = 1,
title = title)
saveDigests(digest, "Records/Surface-1.ioa")
def quadraticPositiveMin():
title = "Quadratic Positive Min -- f(x) = x^2 - 8x + 15"
def f(x): return tf.add(tf.add(tf.pow(x, 2.0), tf.multiply(-8.0, x)), 15.0)
I = IOA(f, 1)
final, digest = I.optimize("min", epochs = -1, learn_rate = .1, error_tolerance = .15,
restrictions = {}, debug = True, debug_interval = -1,
rangeGradientScalar = 1e11, gradientTolerance = 1e-6,
startPreset = [], returnDigest = True, digestInterval = 1,
title = title)
saveDigests(digest, "Records/Quad-Positive-Min.ioa")
def RestrictedPoly():
title = "Restricted Polynomial -- f(x) = x^5 - 4x^4 - 7x^3 + 22x^2 + 24x"
def f(x):
p1 = tf.add(tf.pow(x, 5.0), -tf.multiply(4.0, tf.pow(x, 4)))
p2 = tf.add(-tf.multiply(7.0, tf.pow(x, 3)), tf.multiply(22.0, tf.pow(x, 2)))
return tf.add(tf.multiply(24.0, x), tf.add(p2, p3))
I = IOA(f, 1)
final, digest = I.optimize("max", epochs = -1, learn_rate = .1, error_tolerance = .15,
restrictions = {0: (0, 6)}, debug = True, debug_interval = -1,
rangeGradientScalar = 1e11, gradientTolerance = 9e-6,
startPreset = [],
returnDigest = True, digestInterval = 1,
title = title)
saveDigests(digest, "Records/Restricted-Polynomial.ioa")
def manyVar():
title = "6D -- f(a, b, c, d, e, f) = (a-2)^2 + (b+4)^2 + c^2 + (d-10)^2 + e^2 + (f+10)^2"
def f(x):
p1 = tf.add(tf.pow(tf.add(x[0][0], -2), 2), tf.pow(tf.add(x[0][1], 4), 2))
p2 = tf.add(tf.pow(x[0][2], 2), tf.pow(tf.add(x[0][3], -10), 2))
p3 = tf.add(tf.pow(x[0][4], 2), tf.pow(tf.add(x[0][5], 10), 2))
return tf.add(p1, tf.add(p2, p3))
I = IOA(f, 6)
final, digest = I.optimize("min", epochs = 100, learn_rate = .1, error_tolerance = .15,
restrictions = {}, debug = True, debug_interval = -1,
rangeGradientScalar = 1e11, gradientTolerance = 9e-6,
startPreset = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
returnDigest = True, digestInterval = 1,
title = title)
saveDigests(digest, "Records/High-D-Surface.ioa")