EasyGA - A general solution to Genetic Algorithms

Project description

Installation:

Run the rolling to install:

pip3 install EasyGA

How to use EasyGA:

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:

# 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:

[38],[40],[29],[35],[85],[96],[87],[96],[53],[44]

38

my_chromosome: [<EasyGA.gene object at 0x7fb5642d4860>,
 <EasyGA.gene object at 0x7fb5642d4898>,
  <EasyGA.gene object at 0x7fb5642d4908>,
   <EasyGA.gene object at 0x7fb5642d49e8>,
    <EasyGA.gene object at 0x7fb5642d4b00>,
     <EasyGA.gene object at 0x7fb5642d4ba8>,
      <EasyGA.gene object at 0x7fb5642d4b70>,
       <EasyGA.gene object at 0x7fb5642d4c88>,
        <EasyGA.gene object at 0x7fb5642d4cc0>,
         <EasyGA.gene object at 0x7fb5642d4cf8>]

my_chromosome fitness: None
my_gene: 38
my_gene fitness: None

Developing EasyGA:

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

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