Back to ListDr. Thomas Stützle
The design and development of algorithms is very time-consuming and difficult for a number of reasons, including the complexity of the problems being tackled, the large number of degrees of freedom when designing an algorithm and setting its numerical parameters, and the difficulties of algorithm analysis due to heuristic biases and stochasticity. Fortunately, for some time, advances in automatic algorithm configuration and design methods have made this a more “straightforward” process.
In this talk, I will discuss some of the advances we have achieved over the past 25 years and highlight techniques of automatic configuration of algorithms, the automatic configuration of multi-objective algorithms, the automatic configuration for anytime algorithms, and the automatic design of SLS algorithms via the EMILI framework. Towards the end of the talk I will discuss some aspects of the large language models and how they have changed and will continue to change our perspective on automatic configuration and design of the algorithms.
Thomas Stützle is with the Belgian F.R.S.-FNRS (National Fund for Scientific Research) and works at the IRIDIA laboratory of the Université libre de Bruxelles (ULB), Belgium. He received the Diplom (German equivalent of an MSc degree) in business engineering from Universität Karlsruhe (TH), Germany, in 1994, and his PhD degree and habilitation in computer science, both from the Computer Science Department of Technische Universität Darmstadt, Germany, in 1998 and 2004, respectively. He joined the F.R.S.-FNRS as a researcher in October 2005 and is currently a research director.
He has co-authored three books among which are “Stochastic Local Search: Foundations and Applications” (Morgan Kaufmann) and “Ant Colony Optimization” (MIT Press), both of which have become standard references in their respective areas. His other publications include more than 250 articles in journals, international conferences or edited books many of which are highly cited. In fact, his research contributions received so far more than 73,000 citations in Google Scholar and his h-index is 93. His main research interests are in stochastic local search algorithms, multi-objective optimization, large-scale benchmark studies and automatic configuration and design of algorithms.
