58 lines
1.1 KiB
Markdown
58 lines
1.1 KiB
Markdown
# EasyGA - A general solution to Genetic Algorithms
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The project has just started
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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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To use the package:
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```python
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import EasyGA
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```
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## Usage
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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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# 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)
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ga.initialize()
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# Looking at the first chromosome in the population:
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ga.population.chromosomes[0].print_chromosome()
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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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Then install the repositroy using this command:
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```
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pip install -e .
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```
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# Working on developing a devel branch
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To install EASY, along with the tools you need to develop and run tests, run the following in your virtual env:
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```bash
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$ pip install -e .[dev]
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=======
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$ pip install -e .[devel]
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```
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