Regularized continuous estimation of distribution algorithms

► Introduction of regularized model estimation in EDAs for continuous optimization. ► Studying the effect of regularized model estimation for high-dimensional data in the context of EDAs. ► Investigating the performance of Gaussian-based EDAs for continuous function optimization in high-dimensional settings. ► Statistically better performance of the proposed RegEDAs compared with other Gaussian-based EDAs for some of the optimization functions.