GAs: What Are They?
By Z. Michalewicz. 1996
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sebastian Risi
- Andrea Soltoggio
- Kenneth O. Stanley
- Jean-Baptiste Mouret
- Paul Tonelli
- Joel Lehman
- Jeff Clune
- Justin K. Pugh
Citations in the corpus
- Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, methodology): “When applied to EPANNs, artificial evolution is characterized by systems of growing complexity and changing search spaces (Holland, 1975; Michalewicz, 1994).”