# EasyGA - A general solution to Genetic Algorithms Project description ## Installation: Run the rolling to install: ```Python pip3 install EasyGA ``` ## Getting started with EasyGA ```Python import EasyGA # Setup your defult GA ga = EasyGA.GA() # Run your defult GA ga.initialize() ``` ## How to use EasyGA: ```python import random import EasyGA # The user defined gene function def user_gene_function(): return random.randint(1, 100) # The user defined Fitness Function def user_fitness_function(chromosome): pass # Standard user size requirements Population_size = 10 Chromosome_length = 10 # Create the Genetic algorithm ga = EasyGA.GA(Population_size, Chromosome_length,user_gene_function,user_fitness_function) ga.initialize() ``` ### Getting your Genes and Chromosomes from the population: ```Python # Looking to print the first Chromosome ga.population.chromosomes[0].print_chromosome() # Looking to print one gene in chromosome 0 ga.population.chromosomes[0].genes[0].print_value() # Looking to get the data of a chromosome my_chromosome = ga.population.chromosomes[0] print(f"my_chromosome: {my_chromosome.get_chromosome()}") print(f"my_chromosome fitness: {my_chromosome.get_fitness()}") # Looking to get the data of one gene in the chromosome my_gene = ga.population.chromosomes[0].genes[0] print(f"my_gene: {my_gene.get_value()}") print(f"my_gene fitness: {my_gene.get_fitness()}") ``` ### Ouput: ```Python [38],[40],[29],[35],[85],[96],[87],[96],[53],[44] 38 my_chromosome: [, , , , , , , , , ] my_chromosome fitness: None my_gene: 38 my_gene fitness: None ``` ## Developing EasyGA: ### If you know how to use Github and git ignore this section. ### Getting started with development To work together we plan on using github and the git framework. This is made easy with the Atom software. Download Atom for whatever OS you have. https://atom.io/ Use the github tab to pull the github repository. Its self explanitory. Use the example.py file inside the src folder to run your code and test while we build the package. ## Other options Download the repository to some folder - If you never used git. Look up a youtube tutorial. It will all make sense. ``` git clone https://github.com/danielwilczak101/EasyGA.git ``` Or download as a zip file. ``` https://github.com/danielwilczak101/EasyGA/archive/master.zip ``` Use the example.py file inside the src folder to run your code and test while we build the package.