SwiftGenetics
Released 2019
Download on GitHub

SwiftGenetics is a genetic algorithm library, written in Swift, that has been engineered from-scratch to be highly extensible and composable, by abstracting away different pieces of functionality, while providing concrete implementations of certain use cases, such as tree-based genomes.
People
Santiago Gonzalez Ph.D. Alumni slgonzalez [at] utexas edu
Publications
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization 2020
Santiago Gonzalez and Risto Miikkulainen, In Proceedings of the 2020 IEEE Congress on Evolutionary Computation (CEC), pp. 1-8, July 2020.
Areas of Interest
Evolutionary Computation
Labs
Neural Networks