https://github.com/jespb/c-ga

C implementation of the Genetic Algorithm
https://github.com/jespb/c-ga

Last synced: 10 months ago
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C implementation of the Genetic Algorithm

• Host: GitHub
• URL: https://github.com/jespb/c-ga
• Owner: jespb
• Created: 2023-12-07T10:02:56.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-12-18T16:26:14.000Z (over 2 years ago)
• Last Synced: 2023-12-18T18:49:07.566Z (over 2 years ago)
• Language: C
• Size: 30.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# C-GA

This is a, easy-to-use, scikit-learn inspired version of the Genetic Algorithm (GA).

By using this file, you are agreeing to this product's EULA

This product can be obtained in https://github.com/jespb/C-GA

Copyright ©2023 J. E. Batista

This file contains information about the command and flags used in the stand-alone version of this implementation and an explanation on how to import, use and edit this implementation.

This implementation of GA can be used in a stand-alone fashion using the following command and flags:

$ exec_GA

	

	[-d datasets] 

		- This flag expects a set of csv dataset names separated by ";" (e.g., a.csv;b.csv)

		- By default, the heart.csv dataset is used		

	[-dsdir dir] 

		- States the dataset directory. 

		- By default "datasets/" is used 

		- Use "-dsdir ./" for the root directory	

	[-es elite_size]

		- This flag expects an integer with the elite size;

		- By default, the elite has size 1.	

	[-mg max_generation]

		- This flag expects an integer with the maximum number of generations;

		- By default, this value is set to 100.

	[-odir dir] 

		- States the output directory. 

		- By default "results/" is used 

		- Use "-odir ./" for the root directory

	[-ps population_size]

		- This flag expects an integer with the size of the population;

		- By default, this value is set to 500.

	[-runs number_of_runs] 

		- This flag expects an integer with the number of runs to be made;

		- By default, this values is set to 30

	

	[-tf train_fraction]

		- This flag expects a float [0;1] with the fraction of the dataset to be used in training;

		- By default, this value is set to 0.70

	[-t number_of_threads]

		- This flag expects an integer with the number of threads to use while evaluating the population;

		- If the value is set to 1, the multiprocessing library will not be used 

		- By default, this value is set to 1.

How to use this implementation:

	$ make

	$ ./exec_GA [parameters]

Useful methods:

	$ GA model = ga_create( ... )		-> creates the population;

	$ fit(model)						-> trains the model;

	$ predict_classification(model, X, No_of_samples)	-> Returns a list with the prediction of the given dataset.

	$ predict_regression(model, X, No_of_samples)   	-> Returns a list with the prediction of the given dataset.