87 lines
2.2 KiB
Markdown
87 lines
2.2 KiB
Markdown
# EasyGA - A general solution to Genetic Algorithms
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Project description
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## Installation:
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Run the rolling to install:
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```Python
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pip3 install EasyGA
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```
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## How to use EasyGA:
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```python
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import random
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import EasyGA
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# The user defined gene function
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def user_gene_function():
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return random.randint(1, 100)
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# The user defined Fitness Function
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def user_fitness_function(chromosome):
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pass
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# Standard user size requirements
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Population_size = 10
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Chromosome_length = 10
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# Create the Genetic algorithm
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ga = EasyGA.GA(Population_size, Chromosome_length,user_gene_function,user_fitness_function)
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ga.initialize()
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```
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### Getting your Genes and Chromosomes from the population:
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```Python
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# Looking to print the first Chromosome
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ga.population.chromosomes[0].print_chromosome()
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# Looking to print one gene in chromosome 0
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ga.population.chromosomes[0].genes[0].print_value()
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# Looking to get the data of a chromosome
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my_chromosome = ga.population.chromosomes[0]
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print(f"my_chromosome: {my_chromosome.get_chromosome()}")
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print(f"my_chromosome fitness: {my_chromosome.get_fitness()}")
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# Looking to get the data of one gene in the chromosome
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my_gene = ga.population.chromosomes[0].genes[0]
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print(f"my_gene: {my_gene.get_value()}")
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print(f"my_gene fitness: {my_gene.get_fitness()}")
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```
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### Ouput:
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```Python
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[38],[40],[29],[35],[85],[96],[87],[96],[53],[44]
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38
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my_chromosome: [<EasyGA.gene object at 0x7fb5642d4860>,
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<EasyGA.gene object at 0x7fb5642d4898>,
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<EasyGA.gene object at 0x7fb5642d4908>,
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<EasyGA.gene object at 0x7fb5642d49e8>,
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<EasyGA.gene object at 0x7fb5642d4b00>,
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<EasyGA.gene object at 0x7fb5642d4ba8>,
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<EasyGA.gene object at 0x7fb5642d4b70>,
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<EasyGA.gene object at 0x7fb5642d4c88>,
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<EasyGA.gene object at 0x7fb5642d4cc0>,
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<EasyGA.gene object at 0x7fb5642d4cf8>]
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my_chromosome fitness: None
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my_gene: 38
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my_gene fitness: None
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```
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## Developing EasyGA:
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Download the repository to some folder - If you never used git. Look up a youtube tutorial. It will all make sense.
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```
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git clone https://github.com/danielwilczak101/EasyGA.git
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```
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Or download as a zip file.
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```
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https://github.com/danielwilczak101/EasyGA/archive/master.zip
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```
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Use the example.py file inside the src folder to run your code and test while we build the package.
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