Thomas Stützle
Thomas Stützle
F.R.S.-FNRS Research Director, Université Libre de Bruxelles (ULB)
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Zitiert von
Zitiert von
Ant Colony Optimization - Artificial Ants as a Computational Intelligence Technique
M Dorigo, M Birattari, T Stützle
IEEE Computational Intelligence Magazine 1 (4), 28-39, 2006
Ant Colony Optimization
M Dorigo, T Stützle
MIT Press, Cambridge, MA, 2004
MAX-MIN ant system
T Stutzle, HH Hoos
Future Generation Computer Systems 16 (8), 889-914, 2000
Stochastic local search: Foundations and applications
HH Hoos, T Stützle
Elsevier, 2004
Iterated local search
HR Lourenço, OC Martin, T Stützle
Handbook of metaheuristics, 320-353, 2003
MAX-MIN ant system and local search for the traveling salesman problem
T Stützle, HH Hoos
IEEE International Conference on Evolutionary Computation 1997, 309-314, 1997
The ant colony optimization metaheuristic: Algorithms, applications, and advances
M Dorigo, T Stützle
Handbook of metaheuristics, 250-285, 2003
The irace package: Iterated racing for automatic algorithm configuration
M López-Ibáñez, J Dubois-Lacoste, LP Cáceres, M Birattari, T Stützle
Operations Research Perspectives 3, 43-58, 2016
ParamILS: an automatic algorithm configuration framework
F Hutter, HH Hoos, K Leyton-Brown, T Stützle
Journal of Artificial Intelligence Research 36, 267-306, 2009
Empirical scoring functions for advanced protein− ligand docking with PLANTS
O Korb, T Stutzle, TE Exner
Journal of chemical information and modeling 49 (1), 84-96, 2009
A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem
R Ruiz, T Stützle
European Journal of Operational Research 177 (3), 2033-2049, 2007
Ant colony optimization: overview and recent advances
M Dorigo, T Stützle
Handbook of metaheuristics, 311-351, 2019
A Racing Algorithm for Configuring Metaheuristics.
M Birattari, T Stützle, L Paquete, K Varrentrapp
Gecco 2 (2002), 2002
A short convergence proof for a class of ant colony optimization algorithms
T Stützle, M Dorigo
IEEE Transactions on evolutionary computation 6 (4), 358-365, 2002
Iterated local search: Framework and applications
HR Lourenço, OC Martin, T Stützle
Handbook of metaheuristics, 129-168, 2019
Improvements on the Ant-System: Introducing the MAX-MIN Ant System
T Stützle, H Hoos
Artificial neural nets and genetic algorithms, 245-249, 1998
ACO algorithms for the quadratic assignment problem
T Stützle, M Dorigo
New ideas in optimization, 33, 1999
ACO algorithms for the traveling salesman problem
T Stützle, M Dorigo
Evolutionary algorithms in engineering and computer science 4, 163-183, 1999
An ant approach to the flow shop problem
T Stützle
Proceedings of the 6th European Congress on Intelligent Techniques & Soft …, 1998
SATLIB: An online resource for research on SAT
HH Hoos, T Stützle
Sat 2000, 283-292, 2000
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