60 lines
1.9 KiB
Markdown
60 lines
1.9 KiB
Markdown
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# EasyGA - Genetic Algorithms made Easy
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EasyGA is a python package designed to provide an easy-to-use Genetic Algorithm. The package is designed to work right out of the box, while also allowing the user to customize features as they see fit.
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## Check out our [wiki](https://github.com/danielwilczak101/EasyGA/wiki) for more information.
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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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## Getting started with EasyGA:
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```Python
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import EasyGA
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# Create the Genetic algorithm
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ga = EasyGA.GA()
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# Evolve the whole genetic algorithm until termination has been reached
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ga.evolve()
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# Print out the current generation and the population
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ga.print_generation()
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ga.print_population()
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```
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### Output:
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```bash
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Current Generation : 15
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Current population:
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Chromosome - 0 [7][4][4][5][3][5][5][8][3][7] / Fitness = 3
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Chromosome - 1 [7][4][4][5][3][5][5][8][3][7] / Fitness = 3
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Chromosome - 2 [7][4][4][5][3][5][5][8][3][7] / Fitness = 3
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Chromosome - 3 [7][4][4][5][3][5][5][8][3][7] / Fitness = 3
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Chromosome - 4 [7][2][4][5][3][5][5][8][3][7] / Fitness = 3
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Chromosome - 5 [7][2][4][5][3][5][5][8][3][7] / Fitness = 3
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Chromosome - 6 [5][8][8][6][10][10][5][7][2][7] / Fitness = 2
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Chromosome - 7 [5][8][8][6][10][10][5][7][2][7] / Fitness = 2
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Chromosome - 8 [5][8][8][6][10][10][5][7][2][7] / Fitness = 2
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Chromosome - 9 [7][2][8][10][3][5][5][8][1][7] / Fitness = 2
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```
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## Issues
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We would love to know if your having any issues. Please start a new issue on the [Issues Page](https://github.com/danielwilczak101/EasyGA/issues).
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## Local System Approach
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Download the repository to some folder on your computer.
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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 run.py file inside the EasyGA folder to run your code and test while we build the package.
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