AVIJIT BASAK created MATH-1563:
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Summary: Implementation of Adaptive Probability Generation
Strategy for Genetic Algorithm
Key: MATH-1563
URL: https://issues.apache.org/jira/browse/MATH-1563
Project: Commons Math
Issue Type: Improvement
Reporter: AVIJIT BASAK
In Genetic Algorithm probability of crossover and mutation operation can be
generated in an adaptive manner. Some experiment was done related to this and
published in this article
"https://www.ijcaonline.org/archives/volume175/number10/basak-2020-ijca-920572.pdf";.
Currently Apache's API works on constant probability strategy. I would like to
propose incorporation of rank based adaptive probability generation strategy as
described in the mentioned article. This will improve the performance and
robustness of the algorithm and would make this more suitable for use in higher
dimensional problems like machine learning or deep learning.
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