An interactive educational platform to explore Genetic Algorithms in a visual, intuitive, and accessible way.
Visualize, understand, and experiment with Genetic Algorithms through interactive graphs and detailed data — no coding required.
Discover the core concepts behind Genetic Algorithms, including genetic operators, population structures, and evolutionary dynamics — clearly explained and accessible.
This project was envisioned and built by members of the academic community at PUC-Rio. Learn more about those who made it possible.
See also
If you wish to explore further, check out selected references on Genetic Algorithms, Data Science, and Artificial Intelligence. You can also access a published monograph that inspired parts of this project, along with other recommended readings and resources.
You can also access the Final Paper developed as the Undergraduate Thesis that gave rise to GADemo, offering an in-depth discussion of its theoretical foundation and implementation process.
About GADemo#
Fundamentals#
User Guide#
Examples#
API#
References#
Acknowledgments and Support#
Community and Contribution Guide#
