Theo dõi
Thomas Stützle
Thomas Stützle
F.R.S.-FNRS Research Director, Université Libre de Bruxelles (ULB)
Email được xác minh tại ulb.ac.be - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
19381*2006
MAX-MIN ant system
T Stutzle, HH Hoos
Future Generation Computer Systems 16 (8), 889-914, 2000
44082000
Stochastic local search
HH Hoos, T Stϋtzle
Handbook of approximation algorithms and metaheuristics, 297-307, 2018
25452018
Iterated local search
HR Lourenço, OC Martin, T Stützle
Handbook of metaheuristics, 320-353, 2003
25372003
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
22022016
Ant colony optimization: overview and recent advances
M Dorigo, T Stützle
Handbook of metaheuristics, 311-351, 2019
15872019
The ant colony optimization metaheuristic: Algorithms, applications, and advances
M Dorigo, T Stützle
Handbook of metaheuristics, 250-285, 2003
15222003
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
14721997
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
14632009
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
13612007
ParamILS: an automatic algorithm configuration framework
F Hutter, HH Hoos, K Leyton-Brown, T Stützle
Journal of artificial intelligence research 36, 267-306, 2009
13212009
Iterated local search: Framework and applications
HR Lourenço, OC Martin, T Stützle
Handbook of metaheuristics, 129-168, 2019
9592019
A Racing Algorithm for Configuring Metaheuristics.
M Birattari, T Stützle, L Paquete, K Varrentrapp
Gecco 2 (2002), 2002
8582002
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
6452002
Swarmanoid: a novel concept for the study of heterogeneous robotic swarms
M Dorigo, D Floreano, LM Gambardella, F Mondada, S Nolfi, T Baaboura, ...
IEEE Robotics & Automation Magazine 20 (4), 60-71, 2013
5852013
F-Race and Iterated F-Race: An Overview
M Birattari, Z Yuan, P Balaprakash, T Stützle
Experimental methods for the analysis of optimization algorithms, 311-336, 2010
5802010
ACO algorithms for the traveling salesman problem
T Stützle, M Dorigo
Evolutionary algorithms in engineering and computer science 4, 163-183, 1999
547*1999
Matheuristics: hybridizing metaheuristics and mathematical programming
V Maniezzo, TSS Voss
Springer Verlag, New York, NY, 2009
520*2009
SATLIB: An online resource for research on SAT
HH Hoos, T Stützle
Sat 2000, 283-292, 2000
5162000
Improvements on the Ant-System: Introducing the MAX-MIN Ant System
GD Smith, NC Steele, RF Albrecht, T Stützle, H Hoos
Artificial Neural Nets and Genetic Algorithms: Proceedings of the …, 1998
5081998
Hệ thống không thể thực hiện thao tác ngay bây giờ. Hãy thử lại sau.
Bài viết 1–20