SwiftCMA
Released 2019
Download on GitHub

SwiftCMA is a pure-Swift implementation of Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES).
Santiago Gonzalez Ph.D. Student slgonzalez [at] utexas edu
Evolving Loss Functions with Multivariate Taylor Polynomial Parameterizations 2020
Santiago Gonzalez and Risto Miikkulainen, arXiv Preprint arXiv:2002.00059 (2020).
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization 2019
Santiago Gonzalez and Risto Miikkulainen, arXiv preprint arXiv:1905.11528 (2019).