DMTSource

# Example of multi objective plotting in Deap
# Derek M Tishler - 2018

import numpy as np
import matplotlib.pyplot as plt
plt.rc('xtick', labelsize=8)
plt.rc('ytick', labelsize=8)

DMTSource

# GA example of an array of constrained value items with crossover and mutation, 
#      from question https://groups.google.com/forum/#!topic/deap-users/bu3v9Ozez8E
# Derek M Tishler - 2019

# Started with example and modified to keep as simple as possible:
# https://raw.githubusercontent.com/DEAP/deap/454b4f65a9c944ea2c90b38a75d384cddf524220/examples/ga/onemax_np.py

import random

DMTSource

# Examples on how to extract and plot fitness diversity for a population, hall of fame, or 
#     frontier using histogram and probability curves. Mostly working with multi objective fitness as per
#     question from https://groups.google.com/forum/#!topic/deap-users/Y8JX4AKwzhk
# Derek M Tishler - 2019

import array
import random

DMTSource

#    This file is part of EAP.
#
#    EAP is free software: you can redistribute it and/or modify
#    it under the terms of the GNU Lesser General Public License as
#    published by the Free Software Foundation, either version 3 of
#    the License, or (at your option) any later version.
#
#    EAP is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the

DMTSource

ITS GONE!

I generalized the code and created examples for use in GA and GP:
    
    https://github.com/DMTSource/deap_ray

DMTSource

#    This file is part of DEAP.
#
#    DEAP is free software: you can redistribute it and/or modify
#    it under the terms of the GNU Lesser General Public License as
#    published by the Free Software Foundation, either version 3 of
#    the License, or (at your option) any later version.
#
#    DEAP is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the

DMTSource

# Derek Tishler
# Aug 3 2020
# Based On:
# https://github.com/DEAP/deap/blob/master/examples/ga/onemax_short.py
# V2

import array
import random

import numpy as np

DMTSource

# Derek Tishler, answering a question from Deap Discussions:
# For Ning's question: https://groups.google.com/forum/#!topic/deap-users/W8wacFPyj9Y

# Based on symbreg example: https://github.com/DEAP/deap/blob/master/examples/gp/symbreg.py
# eaSimpleWithElitism from: https://github.com/PacktPublishing/Hands-On-Genetic-Algorithms-with-Python/blob/master/Chapter04/elitism.py


import operator
import math

DMTSource

# Example of using selTournamentDCD requiring assignCrowdingDist

# Based on deap/examples/ga/onemax_numpy.py
# https://github.com/DEAP/deap/blob/master/examples/ga/onemax_numpy.py

# Discussion:
# https://groups.google.com/forum/#!topic/deap-users/uU382eztuts

import random

DMTSource

# Example of creating an individual with multiple 'parts'

# Derek M Tishler, Oct 2020

'''
Evolve a complex structure/individual, such as encoded hyperparamters of a mlp classifier
    individual_example = [encoded_solver__int, learning_rate__float, hidden_units__list]
example of a 10 layer network using adam solver with learning rate ~0.007:
    [0, 0.006592, [13, 89, 21, 100, 96, 100, 16, 67, 45, 88]]
'''