Automated Configuration of Optimization Algorithms
By Carola Doerr on Fri, 2018-11-09 08:45State-of-the-art optimization algorithms typically come with a set of parameters that need to be set by the user in order to configure the algorithm to the problem that he/she wants to solve. This parametrization typically offers a great flexibility in the algorithmic behavior, making the underlying approach applicable to broad ranges of problems or problem instances.