deploy: 2dbdbdc

.buildinfo

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+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: ef6bfc290d10a00f8cd846640cf76085
+tags: 645f666f9bcd5a90fca523b33c5a78b7

_downloads/009bd551118d1b53767e29a645032610/cbx-objectives-three_hump_camel-1.py

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+import matplotlib.pyplot as plt
+from matplotlib import cm
+import numpy as np
+from cbx.objectives import three_hump_camel
+fig = plt.figure(figsize=(15,5))
+x_min = -2.
+x_max =  2.
+y_min = -2.
+y_max =  2.
+f = three_hump_camel()
+
+num_pts_landscape = 100
+xx = np.linspace(x_min, x_max, num_pts_landscape)
+yy = np.linspace(y_min, y_max, num_pts_landscape)
+XX, YY = np.meshgrid(xx,yy)
+XXYY = np.stack((XX.T,YY.T)).T
+Z = np.zeros((num_pts_landscape,num_pts_landscape, 2))
+Z[:,:,0:2] = XXYY
+ZZ = f(Z)
+
+ax0 = fig.add_subplot(121)
+ax1 = fig.add_subplot(122, projection='3d')
+cs = ax0.contourf(XX,YY,ZZ, 20, cmap=cm.jet)
+ax0.contour(cs, colors='orange', alpha=0.2)
+ax0.plot(f.minima[:, 0], f.minima[:, 1], color='orange', marker='x', markersize=5)
+ax1.plot_surface(XX,YY,ZZ, cmap=cm.jet)
+ax0.set_title('Contour plot')
+ax1.set_title('Surface plot')

_downloads/13c14c786852ada20bf945260908eca0/cbx-objectives-McCormick-1.py

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+import matplotlib.pyplot as plt
+from matplotlib import cm
+import numpy as np
+from cbx.objectives import McCormick
+fig = plt.figure(figsize=(15,5))
+x_min = -2.
+x_max = 3.
+y_min = -3
+y_max = 4
+f = McCormick()
+
+num_pts_landscape = 100
+xx = np.linspace(x_min, x_max, num_pts_landscape)
+yy = np.linspace(y_min, y_max, num_pts_landscape)
+XX, YY = np.meshgrid(xx,yy)
+XXYY = np.stack((XX.T,YY.T)).T
+Z = np.zeros((num_pts_landscape,num_pts_landscape, 2))
+Z[:,:,0:2] = XXYY
+ZZ = f(Z)
+
+ax0 = fig.add_subplot(121)
+ax1 = fig.add_subplot(122, projection='3d')
+cs = ax0.contourf(XX,YY,ZZ, 20, cmap=cm.jet)
+ax0.contour(cs, colors='orange', alpha=0.2)
+ax0.plot(-0.54719,-1.54719, color='orange', marker='x', markersize=10)
+ax0.plot(1.54719, 0.54719, color='orange', marker='x', markersize=10)
+ax1.plot_surface(XX,YY,ZZ, cmap=cm.jet)
+ax0.set_title('Contour plot')
+ax1.set_title('Surface plot')

_downloads/1e06862de5b667f4a10c7de9b218b678/cbx-objectives-Michalewicz-1.py

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+import matplotlib.pyplot as plt
+from matplotlib import cm
+import numpy as np
+from cbx.objectives import Michalewicz
+fig = plt.figure(figsize=(15,5))
+x_min = 0.
+x_max =  4.
+y_min = x_min
+y_max = x_max
+f = Michalewicz()
+
+num_pts_landscape = 200
+xx = np.linspace(x_min, x_max, num_pts_landscape)
+yy = np.linspace(y_min, y_max, num_pts_landscape)
+XX, YY = np.meshgrid(xx,yy)
+XXYY = np.stack((XX.T,YY.T)).T
+Z = np.zeros((num_pts_landscape,num_pts_landscape, 2))
+Z[:,:,0:2] = XXYY
+ZZ = f(Z)
+
+ax0 = fig.add_subplot(121)
+ax1 = fig.add_subplot(122, projection='3d')
+cs = ax0.contourf(XX,YY,ZZ,30, cmap=cm.jet)
+ax0.contour(cs, colors='orange', alpha=0.2)
+ax0.scatter(f.minima[:, 0], f.minima[:, 1], color='orange', marker='x', s=30)
+ax1.plot_surface(XX,YY,ZZ, cmap=cm.jet)
+ax0.set_title('Contour plot')
+ax1.set_title('Surface plot')

_downloads/4c086186791e606f5016df5d992f1e14/cbx-objectives-Ackley-1.py

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+import matplotlib.pyplot as plt
+from matplotlib import cm
+import numpy as np
+from cbx.objectives import Ackley
+fig = plt.figure(figsize=(15,5))
+x_min = -2.
+x_max =  2.
+y_min = -2.
+y_max =  2.
+f = Ackley()
+
+num_pts_landscape = 100
+xx = np.linspace(x_min, x_max, num_pts_landscape)
+yy = np.linspace(y_min, y_max, num_pts_landscape)
+XX, YY = np.meshgrid(xx,yy)
+XXYY = np.stack((XX.T,YY.T)).T
+Z = np.zeros((num_pts_landscape,num_pts_landscape, 2))
+Z[:,:,0:2] = XXYY
+ZZ = f(Z)
+
+ax0 = fig.add_subplot(121)
+ax1 = fig.add_subplot(122, projection='3d')
+cs = ax0.contourf(XX,YY,ZZ, 20, cmap=cm.jet)
+ax0.contour(cs, colors='orange', alpha=0.2)
+ax0.plot(f.minima[:, 0], f.minima[:, 1], color='orange', marker='x', markersize=5)
+ax1.plot_surface(XX,YY,ZZ, cmap=cm.jet)
+ax0.set_title('Contour plot')
+ax1.set_title('Surface plot')

_downloads/7214f705958cce9e787109071a9f2c76/cbx-objectives-eggholder-1.py

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+import matplotlib.pyplot as plt
+from matplotlib import cm
+import numpy as np
+from cbx.objectives import eggholder
+fig = plt.figure(figsize=(15,5))
+x_min = -600
+x_max =  600
+y_min = x_min
+y_max = x_max
+f = eggholder()
+
+num_pts_landscape = 200
+xx = np.linspace(x_min, x_max, num_pts_landscape)
+yy = np.linspace(y_min, y_max, num_pts_landscape)
+XX, YY = np.meshgrid(xx,yy)
+XXYY = np.stack((XX.T,YY.T)).T
+Z = np.zeros((num_pts_landscape,num_pts_landscape, 2))
+Z[:,:,0:2] = XXYY
+ZZ = f(Z)
+
+ax0 = fig.add_subplot(121)
+ax1 = fig.add_subplot(122, projection='3d')
+cs = ax0.contourf(XX,YY,ZZ,30, cmap=cm.jet)
+ax0.contour(cs, colors='orange', alpha=0.2)
+ax0.scatter(f.minima[:, 0], f.minima[:, 1], color='orange', marker='x', s=30)
+ax1.plot_surface(XX,YY,ZZ, cmap=cm.jet)
+ax0.set_title('Contour plot')
+ax1.set_title('Surface plot')

_downloads/7c43d7d3aea63a44d8f5e1bcb578c726/cbx-objectives-snowflake-1.py

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+import matplotlib.pyplot as plt
+from matplotlib import cm
+import numpy as np
+from cbx.objectives import snowflake
+fig = plt.figure(figsize=(15,5))
+x_min = -2.5
+x_max =  2.5
+y_min = -2.5
+y_max =  2.5
+f = snowflake()
+
+num_pts_landscape = 100
+xx = np.linspace(x_min, x_max, num_pts_landscape)
+yy = np.linspace(y_min, y_max, num_pts_landscape)
+XX, YY = np.meshgrid(xx,yy)
+XXYY = np.stack((XX.T,YY.T)).T
+Z = np.zeros((num_pts_landscape,num_pts_landscape, 2))
+Z[:,:,0:2] = XXYY
+ZZ = f(Z)
+
+ax0 = fig.add_subplot(121)
+ax1 = fig.add_subplot(122, projection='3d')
+cs = ax0.contourf(XX,YY,ZZ, 20, cmap=cm.get_cmap('Blues'))
+ax0.contour(cs, colors='white', alpha=0.2)
+ax0.scatter(f.minima[:, 0], f.minima[:, 1], color='blue', marker='x', s=20)
+ax1.plot_surface(XX,YY,ZZ, cmap=cm.get_cmap('Blues'))
+ax0.set_title('Contour plot')
+ax1.set_title('Surface plot')

_downloads/84553be8258cb641ceb9ae7af1151183/cbx-objectives-Himmelblau-1.py

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+import matplotlib.pyplot as plt
+from matplotlib import cm
+import numpy as np
+from cbx.objectives import Himmelblau
+fig = plt.figure(figsize=(15,5))
+x_min = -5.
+x_max = 5.
+y_min = -5.
+y_max = 5.
+f = Himmelblau()
+
+num_pts_landscape = 250
+xx = np.linspace(x_min, x_max, num_pts_landscape)
+yy = np.linspace(y_min, y_max, num_pts_landscape)
+XX, YY = np.meshgrid(xx,yy)
+XXYY = np.stack((XX.T,YY.T)).T
+Z = np.zeros((num_pts_landscape,num_pts_landscape, 2))
+Z[:,:,0:2] = XXYY
+ZZ = f(Z)
+
+ax0 = fig.add_subplot(121)
+ax1 = fig.add_subplot(122, projection='3d')
+cs = ax0.contourf(XX,YY,ZZ, 20, cmap=cm.jet)
+ax0.contour(cs, colors='orange', alpha=0.2)
+ax0.scatter(f.minima[:, 0], f.minima[:, 1], color='orange', marker='x', s=15)
+ax1.plot_surface(XX,YY,ZZ, cmap=cm.jet)
+ax0.set_title('Contour plot')
+ax1.set_title('Surface plot')

_downloads/85b2ebc6929a13672e56cedf574cede0/cbx-objectives-Bukin6-1.py

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+import matplotlib.pyplot as plt
+from matplotlib import cm
+import numpy as np
+from cbx.objectives import Bukin6
+fig = plt.figure(figsize=(15,5))
+x_min = -2.
+x_max =  2.
+y_min = -2.
+y_max =  2.
+f = Bukin6()
+
+num_pts_landscape = 100
+xx = np.linspace(x_min, x_max, num_pts_landscape)
+yy = np.linspace(y_min, y_max, num_pts_landscape)
+XX, YY = np.meshgrid(xx,yy)
+XXYY = np.stack((XX.T,YY.T)).T
+Z = np.zeros((num_pts_landscape,num_pts_landscape, 2))
+Z[:,:,0:2] = XXYY
+ZZ = f(Z)
+
+ax0 = fig.add_subplot(121)
+ax1 = fig.add_subplot(122, projection='3d')
+cs = ax0.contourf(XX,YY,ZZ, 20, cmap=cm.jet)
+ax0.contour(cs, colors='orange', alpha=0.2)
+ax0.plot(f.minima[:, 0], f.minima[:, 1], color='orange', marker='x', markersize=5)
+ax1.plot_surface(XX,YY,ZZ, cmap=cm.jet)
+ax0.set_title('Contour plot')
+ax1.set_title('Surface plot')

_downloads/8dda4c291b907384a7d71bd3b8fe9041/cbx-objectives-Rosenbrock-1.py

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+import matplotlib.pyplot as plt
+from matplotlib import cm
+import numpy as np
+from cbx.objectives import Rosenbrock
+fig = plt.figure(figsize=(15,5))
+x_min = -2.
+x_max = 2.
+y_min = -1.
+y_max = 3.
+f = Rosenbrock()
+
+num_pts_landscape = 150
+xx = np.linspace(x_min, x_max, num_pts_landscape)
+yy = np.linspace(y_min, y_max, num_pts_landscape)
+XX, YY = np.meshgrid(xx,yy)
+XXYY = np.stack((XX.T,YY.T)).T
+Z = np.zeros((num_pts_landscape,num_pts_landscape, 2))
+Z[:,:,0:2] = XXYY
+ZZ = f(Z)
+
+ax0 = fig.add_subplot(121)
+ax1 = fig.add_subplot(122, projection='3d')
+cs = ax0.contourf(XX,YY,ZZ, 20, cmap=cm.jet)
+ax0.contour(cs, colors='orange', alpha=0.2)
+ax0.plot(1,1, color='orange', marker='x', markersize=10)
+ax1.plot_surface(XX,YY,ZZ, cmap=cm.jet)
+ax0.set_title('Contour plot')
+ax1.set_title('Surface plot')

_downloads/900cf879deda88117618bcae1a84917e/cbx-objectives-cross_in_tray-1.py

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+import matplotlib.pyplot as plt
+from matplotlib import cm
+import numpy as np
+from cbx.objectives import cross_in_tray
+fig = plt.figure(figsize=(15,5))
+x_min = -2.
+x_max =  2.
+y_min = -2.
+y_max =  2.
+f = cross_in_tray()
+
+num_pts_landscape = 100
+xx = np.linspace(x_min, x_max, num_pts_landscape)
+yy = np.linspace(y_min, y_max, num_pts_landscape)
+XX, YY = np.meshgrid(xx,yy)
+XXYY = np.stack((XX.T,YY.T)).T
+Z = np.zeros((num_pts_landscape,num_pts_landscape, 2))
+Z[:,:,0:2] = XXYY
+ZZ = f(Z)
+
+ax0 = fig.add_subplot(121)
+ax1 = fig.add_subplot(122, projection='3d')
+cs = ax0.contourf(XX,YY,ZZ, 20, cmap=cm.jet)
+ax0.contour(cs, colors='orange', alpha=0.2)
+ax0.scatter(f.minima[:, 0], f.minima[:, 1], color='orange', marker='x', s=20)
+ax1.plot_surface(XX,YY,ZZ, cmap=cm.jet)
+ax0.set_title('Contour plot')
+ax1.set_title('Surface plot')

_downloads/a2645f411226f900fe802789af2551df/cbx-objectives-Rastrigin-1.py

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+import matplotlib.pyplot as plt
+from matplotlib import cm
+import numpy as np
+from cbx.objectives import Rastrigin
+fig = plt.figure(figsize=(15,5))
+x_min = -2.
+x_max =  2.
+y_min = -2.
+y_max =  2.
+f = Rastrigin()
+
+num_pts_landscape = 100
+xx = np.linspace(x_min, x_max, num_pts_landscape)
+yy = np.linspace(y_min, y_max, num_pts_landscape)
+XX, YY = np.meshgrid(xx,yy)
+XXYY = np.stack((XX.T,YY.T)).T
+Z = np.zeros((num_pts_landscape,num_pts_landscape, 2))
+Z[:,:,0:2] = XXYY
+ZZ = f(Z)
+
+ax0 = fig.add_subplot(121)
+ax1 = fig.add_subplot(122, projection='3d')
+cs = ax0.contourf(XX,YY,ZZ, 20, cmap=cm.jet)
+ax0.contour(cs, colors='orange', alpha=0.2)
+ax0.plot(f.minima[:, 0], f.minima[:, 1], color='orange', marker='x', markersize=5)
+ax1.plot_surface(XX,YY,ZZ, cmap=cm.jet)
+ax0.set_title('Contour plot')
+ax1.set_title('Surface plot')

_downloads/bc78261e6df645d62c5d3036e5349ed5/cbx-objectives-Easom-1.py

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+import matplotlib.pyplot as plt
+from matplotlib import cm
+import numpy as np
+from cbx.objectives import Easom
+fig = plt.figure(figsize=(15,5))
+x_min = 0
+x_max =  2. * np.pi
+y_min = 0.
+y_max =  2. * np.pi
+f = Easom()
+
+num_pts_landscape = 100
+xx = np.linspace(x_min, x_max, num_pts_landscape)
+yy = np.linspace(y_min, y_max, num_pts_landscape)
+XX, YY = np.meshgrid(xx,yy)
+XXYY = np.stack((XX.T,YY.T)).T
+Z = np.zeros((num_pts_landscape,num_pts_landscape, 2))
+Z[:,:,0:2] = XXYY
+ZZ = f(Z)
+
+ax0 = fig.add_subplot(121)
+ax1 = fig.add_subplot(122, projection='3d')
+cs = ax0.contourf(XX,YY,ZZ, 20, cmap=cm.jet)
+ax0.contour(cs, colors='orange', alpha=0.2)
+ax0.plot(f.minima[:, 0], f.minima[:, 1], color='orange', marker='x', markersize=5)
+ax1.plot_surface(XX,YY,ZZ, cmap=cm.jet)
+ax0.set_title('Contour plot')
+ax1.set_title('Surface plot')

_downloads/c46ec1404ee3562322afdf14b495e9a3/cbx-objectives-Holder_table-1.py

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+import matplotlib.pyplot as plt
+from matplotlib import cm
+import numpy as np
+from cbx.objectives import Holder_table
+fig = plt.figure(figsize=(15,5))
+x_min = -10.
+x_max =  10.
+y_min = -10.
+y_max =  10.
+f = Holder_table()
+
+num_pts_landscape = 100
+xx = np.linspace(x_min, x_max, num_pts_landscape)
+yy = np.linspace(y_min, y_max, num_pts_landscape)
+XX, YY = np.meshgrid(xx,yy)
+XXYY = np.stack((XX.T,YY.T)).T
+Z = np.zeros((num_pts_landscape,num_pts_landscape, 2))
+Z[:,:,0:2] = XXYY
+ZZ = f(Z)
+
+ax0 = fig.add_subplot(121)
+ax1 = fig.add_subplot(122, projection='3d')
+cs = ax0.contourf(XX,YY,ZZ, 20, cmap=cm.jet)
+ax0.contour(cs, colors='orange', alpha=0.2)
+ax0.scatter(f.minima[:, 0], f.minima[:, 1], color='orange', marker='x', s=20)
+ax1.plot_surface(XX,YY,ZZ, cmap=cm.jet)
+ax0.set_title('Contour plot')
+ax1.set_title('Surface plot')