Clonal Selection Algorithm

This page presents a collection of practical examples showcasing how to use the Clonal Selection Algorithm.

AIRS (Artificial Immune Recognition System)

Run notebooks online via Binder:

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Binary Algorithm

• Example with random samples

In the example present in this notebook 1000 random samples were generated, arranged in two groups, one for each class.

• mushrooms_dataBase_example

It uses the mushrooms database, which contains information about edible and poisonous mushrooms.

Real-Valued Algorithm

• Example with random samples

In the example present in this notebook 500 random samples were generated, arranged in two groups, one for each class, we can see the non-self detectors generated below

• iris_dataBase_example

Example using the NSA iris database, which contains four-dimensional samples and three output classes (Setosa, Versicolor and Virginica).

• geyser_dataBase_example

To classify geyser eruptions in Yellowstone National Park, this notebook uses the Old Faithful database.