World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Belgium
2026

D-Index & Metrics

Computer Science

D-Index
84
Citations
70111
World Ranking
820
National Ranking
8

Research.com Recognitions

  • 2026 - Research.com Computer Science in Belgium Leader Award
  • 2025 - Research.com Computer Science in Belgium Leader Award
  • 2022 - Research.com Computer Science in Belgium Leader Award

Overview

Thomas Stützle is affiliated with the Université Libre de Bruxelles in Belgium and has produced significant work in the fields of Computer Science and Engineering. Their research focuses on multiple subfields, including Artificial Intelligence, Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Computer Networks and Communications, and Control and Systems Engineering.

The scientist's main research topics cover various aspects of optimization and algorithm design. These include Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Vehicle Routing Optimization Methods, Evolutionary Algorithms and Applications, Scheduling and Optimization Algorithms, Optimization and Search Problems, and Optimization and Packing Problems.

Thomas Stützle has published extensively in a range of academic venues. Frequent publication venues include:

  • International Transactions in Operational Research
  • Computers & Operations Research
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Swarm Intelligence
  • IEEE Transactions on Evolutionary Computation

The scientist has authored notable recent papers such as:

  • "Metaphor-based metaheuristics, a call for action: the elephant in the room" (2021) published in Swarm Intelligence
  • "Exposing the grey wolf, moth-flame, whale, firefly, bat, and antlion algorithms: six misleading optimization techniques inspired by bestial metaphors" (2022) published in International Transactions in Operational Research
  • "PSO-X: A Component-Based Framework for the Automatic Design of Particle Swarm Optimization Algorithms" (2021) published in IEEE Transactions on Evolutionary Computation
  • "An analysis of why cuckoo search does not bring any novel ideas to optimization" (2022) published in Computers & Operations Research
  • "A computational study on ant colony optimization for the traveling salesman problem with dynamic demands" (2021) published in Computers & Operations Research

Frequent coauthors collaborating with Thomas Stützle include:

  • Vittorio Maniezzo
  • Marco Antonio Boschetti
  • Marco Dorigo
  • Christian L. Camacho-Villalón
  • Alberto Franzin

In addition to articles, Thomas Stützle has contributed to book publications with respected publishers such as Springer International Publishing, Springer Science+Business Media, and the European Organization for Nuclear Research. Titles include Matheuristics (2021), Swarm Intelligence (2020), and a volume in the ieee-cis/IEEE-CIS-Open-Access-Book series (2023).

Best Publications

  • Ant colony optimization: artificial ants as a computational intelligence technique

    Marco Dorigo;Mauro Birattari;Thomas Stützle

  • Ant Colony Optimization

    M. Dorigo;M. Birattari;T. Stutzle

  • MAX-MIN Ant system

    Thomas Stützle;Holger H. Hoos

  • Iterated local search

    Helena Ramalhino Lourenco;Olivier Martin;Thomas Stützle

  • The irace package: Iterated racing for automatic algorithm configuration

    Manuel López-Ibáñez;Jérémie Dubois-Lacoste;Leslie Pérez Cáceres;Mauro Birattari

  • Empirical Scoring Functions for Advanced Protein−Ligand Docking with PLANTS

    Oliver Korb;Thomas Stützle;Thomas E. Exner

  • The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances

    Marco Dorigo;Thomas Stützle

  • A SIMPLE AND EFFECTIVE ITERATED GREEDY ALGORITHM FOR THE PERMUTATION FLOWSHOP SCHEDULING PROBLEM

    Rubén Ruiz;Thomas Stützle

  • MAX-MIN Ant System and local search for the traveling salesman problem

    T. Stutzle;H. Hoos

  • Ant Colony Optimization: Overview and Recent Advances

    Marco Dorigo;Thomas Stützle

  • Improvements on the Ant-System: Introducing the MAX-MIN Ant System

    Thomas Stützle;Holger H. Hoos

  • Iterated Local Search: Framework and Applications

    Helena Ramalhinho Lourenço;Olivier C. Martin;Thomas Stützle

  • A Racing Algorithm for Configuring Metaheuristics

    Mauro Birattari;Thomas Stützle;Luis Paquete;Klaus Varrentrapp

  • A short convergence proof for a class of ant colony optimization algorithms

    T. Stutzle;M. Dorigo

  • Improvement strategies for the F-Race algorithm: sampling design and iterative refinement

    Prasanna Balaprakash;Mauro Birattari;Thomas Stützle

  • Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms

    Marco Dorigo;Dario Floreano;Luca Maria Gambardella;Francesco Mondada

  • F-race and iterated F-race: An overview

    Mauro Birattari;Zhi Yuan;Prasanna Balaprakash;Thomas Stützle

  • Ant Colony Optimization and Swarm Intelligence

    Marco Dorigo;Mauro Birattari;Christian Blum;Luca Maria Gambardella

  • ACO algorithms for the quadratic assignment problem

    Thomas Stützle;Marco Dorigo

  • Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019

    Anne Auger;Thomas Stützle

  • Ant Colony Optimization Theory

    Marco Dorigo;Thomas Stützle

Frequent Co-Authors

Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
Mauro Birattari
Mauro Birattari Université Libre de Bruxelles
Manuel López-Ibáñez
Manuel López-Ibáñez University of Manchester
Holger H. Hoos
Holger H. Hoos RWTH Aachen University
Luca Maria Gambardella
Luca Maria Gambardella Dalle Molle Institute for Artificial Intelligence Research
Rubén Ruiz
Rubén Ruiz Universitat Politècnica de València
Gianni A. Di Caro
Gianni A. Di Caro Carnegie Mellon University
Christian Blum
Christian Blum Spanish National Research Council
Vittorio Maniezzo
Vittorio Maniezzo University of Bologna
Francesco Mondada
Francesco Mondada École Polytechnique Fédérale de Lausanne

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in Computer Science and related fields can be a smart move for those seeking flexibility, affordability, and rapid entry into high-demand tech careers. Many universities in the USA offer fully online bachelor's and master's programs, making it easier to balance your studies with work or other life commitments.

If you're interested in the ever-evolving field of AI, an online AI degree can open doors to cutting-edge roles in machine learning, robotics, and data analytics. These programs often emphasize both theoretical knowledge and hands-on experience, preparing graduates to meet industry needs.

Choosing the right major is pivotal. Take time to explore the majors in college that align best with your long-term goals, whether in computer science, IT, data science, or other tech disciplines.

For those seeking to level up quickly, consider pursuing the easiest online masters degree programs that offer both quality education and a streamlined path to advanced qualifications. These pathways can help boost your career potential without extended time commitments.

Best Scientists Citing Thomas Stützle

Trending Scientists