Cikkek nyilvánosan hozzáférhető megbízással - Thomas StützleTovábbi információ
Sehol sem hozzáférhető: 15
An iterated greedy algorithm with optimization of partial solutions for the makespan permutation flowshop problem
J Dubois-Lacoste, F Pagnozzi, T Stützle
Computers & Operations Research 81, 160-166, 2017
Megbízások: National Fund for Scientific Research, Belgium
Automated design of metaheuristic algorithms
T Stützle, M López-Ibáñez
Handbook of metaheuristics, 541-579, 2019
Megbízások: National Fund for Scientific Research, Belgium, Belgian Science Policy Office
Tabu search vs. simulated annealing as a function of the size of quadratic assignment problem instances
MS Hussin, T Stützle
Computers & operations research 43, 286-291, 2014
Megbízások: National Fund for Scientific Research, Belgium
Artificial bee colonies for continuous optimization: Experimental analysis and improvements
T Liao, D Aydın, T Stützle
Swarm Intelligence 7, 327-356, 2013
Megbízások: National Fund for Scientific Research, Belgium, European Commission
ABC-X: a generalized, automatically configurable artificial bee colony framework
D Aydın, G Yavuz, T Stützle
Swarm Intelligence 11, 1-38, 2017
Megbízások: National Fund for Scientific Research, Belgium
A unified framework for routing problems with a fixed fleet size
S Kritzinger, F Tricoire, KF Doerner, RF Hartl, T Stützle
International Journal of Metaheuristics 6 (3), 160-209, 2017
Megbízások: Austrian Science Fund, National Fund for Scientific Research, Belgium
Exploring variable neighborhood search for automatic algorithm configuration
LP Cáceres, T Stützle
Electronic Notes in Discrete Mathematics 58, 167-174, 2017
Megbízások: National Fund for Scientific Research, Belgium
Speeding up local search for the insert neighborhood in the weighted tardiness permutation flowshop problem
F Pagnozzi, T Stützle
Optimization Letters 11 (7), 1283-1292, 2017
Megbízások: National Fund for Scientific Research, Belgium
Three L-SHADE based algorithms on mixed-variables optimization problems
Y Lin, W Du, T Liao, T Stützle
2017 IEEE Congress on Evolutionary Computation (CEC), 2274-2281, 2017
Megbízások: National Fund for Scientific Research, Belgium, National Natural Science …
Algorithm comparison by automatically configurable stochastic local search frameworks: A case study using flow-shop scheduling problems
F Mascia, M López-Ibáñez, J Dubois-Lacoste, ME Marmion, T Stützle
Hybrid Metaheuristics: 9th International Workshop, HM 2014, Hamburg, Germany …, 2014
Megbízások: National Fund for Scientific Research, Belgium
Tuning of a stigmergy-based traffic light controller as a dynamic optimization problem
J Dubois-Lacoste, T Stützle
2017 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2017
Megbízások: National Fund for Scientific Research, Belgium
Automated offline design of algorithms
M López-Ibáñez, T Stützle
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
Megbízások: National Fund for Scientific Research, Belgium, European Commission
Hybrid simulated annealing for the bi-objective quadratic assignment problem
MS Hussin, T Stützle
Multi-disciplinary Trends in Artificial Intelligence: 11th International …, 2017
Megbízások: National Fund for Scientific Research, Belgium
Revisiting pareto-optimal multi-and many-objective reference fronts for continuous optimization
GC da Silva, EF Wanner, LCT Bezerra, T Stützle
2021 IEEE Congress on Evolutionary Computation (CEC), 1171-1178, 2021
Megbízások: National Fund for Scientific Research, Belgium
A Computational Study of Neighborhood Operators for Job-Shop Scheduling Problems with Regular Objectives
H Hammami, T Stützle
Evolutionary Computation in Combinatorial Optimization: 17th European …, 2017
Megbízások: National Fund for Scientific Research, Belgium
Valahol hozzáférhető: 73
Stochastic local search
HH Hoos, T Stϋtzle
Handbook of Approximation Algorithms and Metaheuristics, 297-307, 2018
Megbízások: National Fund for Scientific Research, Belgium, Natural Sciences and …
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
Megbízások: National Fund for Scientific Research, Belgium
Ant colony optimization: overview and recent advances
M Dorigo, T Stützle
Handbook of metaheuristics, 311-351, 2019
Megbízások: National Fund for Scientific Research, Belgium, Belgian Science Policy Office
Iterated local search: Framework and applications
HR Lourenço, OC Martin, T Stützle
Handbook of metaheuristics, 129-168, 2019
Megbízások: National Fund for Scientific Research, Belgium, Government of Spain, Belgian …
A unified ant colony optimization algorithm for continuous optimization
T Liao, T Stützle, MAM de Oca, M Dorigo
European Journal of Operational Research 234 (3), 597-609, 2014
Megbízások: National Fund for Scientific Research, Belgium, European Commission
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