Datasets for the dissertation "Leveraging Data in Algorithm Design"

The contents of this repository are the source code and datasets for each of the chapters of the dissertation by Esther Julien. This dissertation explores the use of machine-learning techniques to improve the performance of various algorithms. These algorithms solve problems appearing within the field of operations research, with a focus on bilevel optimization and adaptable robust optimization, and for the construction of phylogenetic networks. The data consists of source code for each of these projects and data for test instances and self-generated training data for the various supervised machine-learning models.