All example functions are implemented as lambda functions that are passed into the genetic algorithm function. To see an example see example.py. To define your own:

  def dejong(maximize):
      print 'Blackbox: deJongSphere function'
      black_box = (lambda x: (reduce(
          (lambda r, q: q + x ** 2)), range(4), 0)))
      params = {
          'objective_function': black_box,
          'iterations': 500,
          'mutation_probability': 0.01,
          "crossover_rate": 0.7,
          "constraint_range": range(-5, 5),
          "number_of_variables": 1,
          "carry_over": 64,
          "pool_size": 500,
          "target": None,
          "max": maximize,
          "function_name": "deJong Sphere maximized: {a}".format(a=maximize)
          }
      genetic_algorithms_py.__init__(params)

Instructions here

Instructions here

    pip install -r requirements.txt

Errors?

• If MatPlotLib fails on Linux install the following: freetype-devel, libpng-devel and run pip again. If you still have errors you can install from here.

    echo False > debug
    python example.py

    echo False > debug
    python example.py > test.txt

Set debug to false by modifying the debug file in the root directory contain any string other than True

    [sudo] pip install nose

    echo False > debug
    nosetests

with coverage information

    echo False > debug
    nosetests --with-coverage --cover-html

Install Ruby 2.2.3, bundler, guard, and guard shell

• Ruby instructions

• To install bundler

    gem install bundler

• To install guard and guard shell

    bundle install

• Running guard

    echo False > debug
    guard

Set debug to True by modifying the debug file in the root directory contain the string True

Charts will be generated, and charts will be displayed. Pressing enter is required to continue each objective function.

    echo True > debug
    python example.py
    echo False > debug

• See: PEP 0008
• See also: Thoughbot Guides