#Changing Environments This project will observe the relative improvement in fitness of a digital organism moved from its natural environment to a new one, and then back.

##Researchers: Riley Annis, Josh Nahum, Emily Dolson

##Dependencies: Numpy, Scipy, Cython

###Necessary Files:

• changing_environments_ga.py
• main.py
• fitness_function.pyx
• cpp_fitness_function.cpp
• string_org.py
• real_value_vector_org.py
• pd files

###Config File Arguenments:

• Necessary for all types:
  • org_type
  • number_of_organisms
  • mutation_rate
  • number_of_generations
  • tournament_size
  • verbose
  • output_frequency
• Necessary for string orgs:
  • target_string
  • letters
• Necessary for real value vector orgs:
  • fitness_function_type
  • crowding
  • range_minimum
  • range_maximum
  • mutation_effect_size
  • alternate_environment_corr
  • length
• Necessary for pd orgs:
  • Will fill in later

###changing_environments_ga.py Command Line Arguements:

• -c config file location
• -o desired output directory

###Use With String Orgs: Not used, possibly broken.

###Use With Real Value Vector Orgs:

• Fitness functions gathered from http://www.cs.unm.edu/~neal.holts/dga/benchmarkFunction/index.html
• I'll fill the rest of this in soon, promise.

###Use With PD Orgs (Static Environment): Might fill this in