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Thomas Stützle
2010 – today
- 2013
[j45]Tianjun Liao, Marco Antonio Montes de Oca, Thomas Stützle: Computational results for an automatically tuned CMA-ES with increasing population size on the CEC'05 benchmark set. Soft Comput. 17(6): 1031-1046 (2013)- [j44]Marco Dorigo, Mauro Birattari, Christian Blum, Anders Lyhne Christensen, Andries Petrus Engelbrecht, Roderich Groß, Thomas Stützle: ANTS 2012 special issue - Editorial. Swarm Intelligence 7(2-3): 79-81 (2013)
- [c80]Andrea Valsecchi, Jérémie Dubois-Lacoste, Thomas Stützle, Sergio Damas, Jose Santamaría, Linda Marrakchi-Kacem: Evolutionary medical image registration using automatic parameter tuning. IEEE Congress on Evolutionary Computation 2013: 1326-1333
- [c79]Tianjun Liao, Thomas Stützle: Benchmark results for a simple hybrid algorithm on the CEC 2013 benchmark set for real-parameter optimization. IEEE Congress on Evolutionary Computation 2013: 1938-1944
- [c78]Andreea Radulescu, Manuel López-Ibáñez, Thomas Stützle: Automatically Improving the Anytime Behaviour of Multiobjective Evolutionary Algorithms. EMO 2013: 825-840
- [c77]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle: An Analysis of Local Search for the Bi-objective Bidimensional Knapsack Problem. EvoCOP 2013: 85-96
- [c76]Thomas Stützle, Manuel López-Ibáñez: Automatic (offline) configuration of algorithms. GECCO (Companion) 2013: 893-918
- [c75]Tianjun Liao, Thomas Stützle: Bounding the population size of IPOP-CMA-ES on the noiseless BBOB testbed. GECCO (Companion) 2013: 1161-1168
- [c74]Tianjun Liao, Thomas Stützle: Testing the impact of parameter tuning on a variant of IPOP-CMA-ES with a bounded maximum population size on the noiseless BBOB testbed. GECCO (Companion) 2013: 1169-1176
- [c73]Tianjun Liao, Thomas Stützle: Expensive optimization scenario: IPOP-CMA-ES with a population bound mechanism for noiseless function testbed. GECCO (Companion) 2013: 1185-1192
- [c72]Zhi Yuan, Thomas Stützle, Marco Antonio Montes de Oca, Hoong Chuin Lau, Mauro Birattari: An analysis of post-selection in automatic configuration. GECCO 2013: 1557-1564
- [c71]Florence Massen, Manuel López-Ibáñez, Thomas Stützle, Yves Deville: Experimental Analysis of Pheromone-Based Heuristic Column Generation Using irace. Hybrid Metaheuristics 2013: 92-106
- [c70]Marie-Eléonore Marmion, Franco Mascia, Manuel López-Ibáñez, Thomas Stützle: Automatic Design of Hybrid Stochastic Local Search Algorithms. Hybrid Metaheuristics 2013: 144-158
- [i1]Holger H. Hoos, Thomas Stützle: Evaluating Las Vegas Algorithms - Pitfalls and Remedies. CoRR abs/1301.7383 (2013)
- 2012
- [j43]Andrea Roli, Stefano Benedettini, Thomas Stützle, Christian Blum: Large neighbourhood search algorithms for the founder sequence reconstruction problem. Computers & OR 39(2): 213-224 (2012)
- [j42]Paola Pellegrini, Thomas Stützle, Mauro Birattari: A critical analysis of parameter adaptation in ant colony optimization. Swarm Intelligence 6(1): 23-48 (2012)
- [j41]Zhi Yuan, Marco Antonio Montes de Oca, Mauro Birattari, Thomas Stützle: Continuous optimization algorithms for tuning real and integer parameters of swarm intelligence algorithms. Swarm Intelligence 6(1): 49-75 (2012)
- [j40]Manuel López-Ibáñez, Thomas Stützle: An experimental analysis of design choices of multi-objective ant colony optimization algorithms. Swarm Intelligence 6(3): 207-232 (2012)
- [j39]Francesco Sambo, Marco Antonio Montes de Oca, Barbara Di Camillo, Gianna Toffolo, Thomas Stützle: MORE: Mixed Optimization for Reverse Engineering - An Application to Modeling Biological Networks Response via Sparse Systems of Nonlinear Differential Equations. IEEE/ACM Trans. Comput. Biology Bioinform. 9(5): 1459-1471 (2012)
- [j38]Manuel López-Ibáñez, Thomas Stützle: The Automatic Design of Multiobjective Ant Colony Optimization Algorithms. IEEE Trans. Evolutionary Computation 16(6): 861-875 (2012)
- [c69]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle: Automatic Generation of Multi-objective ACO Algorithms for the Bi-objective Knapsack. ANTS 2012: 37-48
- [c68]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle: Pareto Local Search Algorithms for Anytime Bi-objective Optimization. EvoCOP 2012: 206-217
- [c67]Tianjun Liao, Daniel Molina, Thomas Stützle, Marco Antonio Montes de Oca, Marco Dorigo: An ACO algorithm benchmarked on the BBOB noiseless function testbed. GECCO (Companion) 2012: 159-166
- [c66]Franco Mascia, Thomas Stützle: A Non-adaptive Stochastic Local Search Algorithm for the CHeSC 2011 Competition. LION 2012: 101-114
- [c65]Manuel López-Ibáñez, Tianjun Liao, Thomas Stützle: On the Anytime Behavior of IPOP-CMA-ES. PPSN (1) 2012: 357-366
- [e9]Marco Dorigo, Mauro Birattari, Christian Blum, Anders Lyhne Christensen, Andries Petrus Engelbrecht, Roderich Groß, Thomas Stützle (Eds.): Swarm Intelligence - 8th International Conference, ANTS 2012, Brussels, Belgium, September 12-14, 2012. Proceedings. Lecture Notes in Computer Science 7461, Springer 2012, ISBN 978-3-642-32649-3
- 2011
- [j37]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle: Improving the anytime behavior of two-phase local search. Ann. Math. Artif. Intell. 61(2): 125-154 (2011)
- [j36]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle: A hybrid TP+PLS algorithm for bi-objective flow-shop scheduling problems. Computers & OR 38(8): 1219-1236 (2011)
- [j35]Marco Antonio Montes de Oca, Dogan Aydin, Thomas Stützle: An incremental particle swarm for large-scale continuous optimization problems: an example of tuning-in-the-loop (re)design of optimization algorithms. Soft Comput. 15(11): 2233-2255 (2011)
- [j34]Marco Dorigo, Mauro Birattari, Gianni Di Caro, René Doursat, Andries Petrus Engelbrecht, Luca Maria Gambardella, Roderich Groß, Erol Sahin, Thomas Stützle: ANTS 2010 special issue - Editorial. Swarm Intelligence 5(3-4): 143-147 (2011)
- [j33]Marco Antonio Montes de Oca, Thomas Stützle, Ken Van den Enden, Marco Dorigo: Incremental Social Learning in Particle Swarms. IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(2): 368-384 (2011)
- [c64]Dogan Aydin, Tianjun Liao, Marco Antonio Montes de Oca, Thomas Stützle: Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm. Artificial Evolution 2011: 85-96
- [c63]Stefan Eppe, Yves De Smet, Thomas Stützle: A Bi-objective Optimization Model to Eliciting Decision Maker's Preferences for the PROMETHEE II Method. ADT 2011: 56-66
- [c62]Stefan Eppe, Manuel López-Ibáñez, Thomas Stützle, Yves De Smet: An experimental study of preference model integration into multi-objective optimization heuristics. IEEE Congress on Evolutionary Computation 2011: 2751-2758
- [c61]Gianpiero Francesca, Paola Pellegrini, Thomas Stützle, Mauro Birattari: Off-line and On-line Tuning: A Study on Operator Selection for a Memetic Algorithm Applied to the QAP. EvoCOP 2011: 203-214
- [c60]Sabrina M. Oliveira, Mohamed Saifullah Hussin, Thomas Stützle, Andrea Roli, Marco Dorigo: A detailed analysis of the population-based ant colony optimization algorithm for the TSP and the QAP. GECCO (Companion) 2011: 13-14
- [c59]Tianjun Liao, Marco Antonio Montes de Oca, Dogan Aydin, Thomas Stützle, Marco Dorigo: An incremental ant colony algorithm with local search for continuous optimization. GECCO 2011: 125-132
- [c58]Tianjun Liao, Marco Antonio Montes de Oca, Thomas Stützle: Tuning parameters across mixed dimensional instances: a performance scalability study of Sep-G-CMA-ES. GECCO (Companion) 2011: 703-706
- [c57]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle: Automatic configuration of state-of-the-art multi-objective optimizers using the TP+PLS framework. GECCO 2011: 2019-2026
- [c56]Mohamed Saifullah Hussin, Thomas Stützle: High performing stochastic local search algorithms for the QAP and their performance in dependence to the instance structure and size. HIS 2011: 139-144
- 2010
- [j32]Roberto Battiti, Bart Selman, Thomas Stützle: Special issue on learning and intelligent optimization. Ann. Math. Artif. Intell. 60(1-2): 1-2 (2010)
- [j31]Prasanna Balaprakash, Mauro Birattari, Thomas Stützle, Marco Dorigo: Estimation-based metaheuristics for the probabilistic traveling salesman problem. Computers & OR 37(11): 1939-1951 (2010)
- [j30]Thijs Urlings, Rubén Ruiz, Thomas Stützle: Shifting representation search for hybrid flexible flowline problems. European Journal of Operational Research 207(2): 1086-1095 (2010)
- [j29]C. Twomey, Thomas Stützle, Marco Dorigo, Max Manfrin, Mauro Birattari: An analysis of communication policies for homogeneous multi-colony ACO algorithms. Inf. Sci. 180(12): 2390-2404 (2010)
- [c55]Manuel López-Ibáñez, Thomas Stützle: Automatic Configuration of Multi-Objective ACO Algorithms. ANTS Conference 2010: 95-106
- [c54]Zhi Yuan, Marco Antonio Montes de Oca, Mauro Birattari, Thomas Stützle: Modern Continuous Optimization Algorithms for Tuning Real and Integer Algorithm Parameters. ANTS Conference 2010: 203-214
- [c53]Paola Pellegrini, Thomas Stützle, Mauro Birattari: Off-line vs. On-line Tuning: A Study on MAX-MIN\mathcal{MAX--MIN} Ant System for the TSP. ANTS Conference 2010: 239-250
- [c52]Michael Maur, Manuel López-Ibáñez, Thomas Stützle: Pre-scheduled and adaptive parameter variation in MAX-MIN Ant System. IEEE Congress on Evolutionary Computation 2010: 1-8
- [c51]Manuel López-Ibáñez, Thomas Stützle: The impact of design choices of multiobjective antcolony optimization algorithms on performance: an experimental study on the biobjective TSP. GECCO 2010: 71-78
- [c50]Manuel López-Ibáñez, Thomas Stützle, Luis Paquete: Graphical tools for the analysis of bi-objective optimization algorithms: [workshop on theoretical aspects of evolutionary multiobjective optimization]. GECCO (Companion) 2010: 1959-1962
- [c49]Zhi Yuan, Thomas Stützle, Mauro Birattari: MADS/F-Race: Mesh Adaptive Direct Search Meets F-Race. IEA/AIE (1) 2010: 41-50
- [c48]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle: Adaptive "Anytime" Two-Phase Local Search. LION 2010: 52-67
- [c47]Marco Antonio Montes de Oca, Thomas Stützle, Mauro Birattari, Marco Dorigo: Incremental Social Learning Applied to a Decentralized Decision-Making Mechanism: Collective Learning Made Faster. SASO 2010: 243-252
- [c46]Marco Chiarandini, Thomas Stützle: An Analysis of Heuristics for Vertex Colouring. SEA 2010: 326-337
- [p4]Irina Dumitrescu, Thomas Stützle: Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms. Matheuristics 2010: 103-134
- [p3]Luis Paquete, Thomas Stützle: On the Performance of Local Search for the Biobjective Traveling Salesman Problem. Advances in Multi-Objective Nature Inspired Computing 2010: 143-165
- [e8]Marco Dorigo, Mauro Birattari, Gianni A. Di Caro, René Doursat, Andries Petrus Engelbrecht, Dario Floreano, Luca Maria Gambardella, Roderich Groß, Erol Sahin, Hiroki Sayama, Thomas Stützle (Eds.): Swarm Intelligence - 7th International Conference, ANTS 2010, Brussels, Belgium, September 8-10, 2010. Proceedings. Lecture Notes in Computer Science 6234, Springer 2010, ISBN 978-3-642-15460-7
- [e7]Vittorio Maniezzo, Thomas Stützle, Stefan Voß (Eds.): Matheuristics - Hybridizing Metaheuristics and Mathematical Programming. Annals of Information Systems 10, Springer 2010, ISBN 978-1-4419-1305-0
- [r1]Marco Dorigo, Mauro Birattari, Thomas Stützle: Metaheuristic. Encyclopedia of Machine Learning 2010: 662
2000 – 2009
- 2009
- [j28]Luís Paquete, Thomas Stützle: Design and analysis of stochastic local search for the multiobjective traveling salesman problem. Computers & OR 36(9): 2619-2631 (2009)
- [j27]Prasanna Balaprakash, Mauro Birattari, Thomas Stützle, Marco Dorigo: Adaptive sample size and importance sampling in estimation-based local search for the probabilistic traveling salesman problem. European Journal of Operational Research 199(1): 98-110 (2009)
- [j26]Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Thomas Stützle: ParamILS: An Automatic Algorithm Configuration Framework. J. Artif. Intell. Res. (JAIR) 36: 267-306 (2009)
- [j25]Karl F. Doerner, Daniel Merkle, Thomas Stützle: Special issue on ant colony optimization. Swarm Intelligence 3(1): 1-2 (2009)
- [j24]Prasanna Balaprakash, Mauro Birattari, Thomas Stützle, Zhi Yuan, Marco Dorigo: Estimation-based ant colony optimization and local search for the probabilistic traveling salesman problem. Swarm Intelligence 3(3): 223-242 (2009)
- [j23]Marco Antonio Montes de Oca, Thomas Stützle, Mauro Birattari, Marco Dorigo: Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm. IEEE Trans. Evolutionary Computation 13(5): 1120-1132 (2009)
- [c45]Francesco Sambo, Marco Antonio Montes de Oca, Barbara Di Camillo, Thomas Stützle: On the Difficulty of Inferring Gene Regulatory Networks: A Study of the Fitness Landscape Generated by Relative Squared Error. Artificial Evolution 2009: 74-85
- [c44]Manuel López-Ibáñez, Thomas Stützle: An Analysis of Algorithmic Components for Multiobjective Ant Colony Optimization: A Case Study on the Biobjective TSP. Artificial Evolution 2009: 134-145
- [c43]Marco Antonio Montes de Oca, Jorge Peña, Thomas Stützle, Carlo Pinciroli, Marco Dorigo: Heterogeneous particle swarm optimizers. IEEE Congress on Evolutionary Computation 2009: 698-705
- [c42]
- [c41]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle: Effective Hybrid Stochastic Local Search Algorithms for Biobjective Permutation Flowshop Scheduling. Hybrid Metaheuristics 2009: 100-114
- [c40]Mohamed Saifullah Hussin, Thomas Stützle: Hierarchical Iterated Local Search for the Quadratic Assignment Problem. Hybrid Metaheuristics 2009: 115-129
- [e6]Thomas Stützle (Ed.): Learning and Intelligent Optimization, Third International Conference, LION 3, Trento, Italy, January 14-18, 2009. Selected Papers. Lecture Notes in Computer Science 5851, Springer 2009, ISBN 978-3-642-11168-6
- [e5]Thomas Stützle, Mauro Birattari, Holger H. Hoos (Eds.): Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics, Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings. Lecture Notes in Computer Science 5752, Springer 2009, ISBN 978-3-642-03750-4
- 2008
- [j22]Peter M. Hahn, Bum-Jin Kim, Thomas Stützle, Sebastian Kanthak, William L. Hightower, Harvind Samra, Zhi Ding, Monique Guignard: The quadratic three-dimensional assignment problem: Exact and approximate solution methods. European Journal of Operational Research 184(2): 416-428 (2008)
- [j21]Rubén Ruiz, Thomas Stützle: An Iterated Greedy heuristic for the sequence dependent setup times flowshop problem with makespan and weighted tardiness objectives. European Journal of Operational Research 187(3): 1143-1159 (2008)
- [j20]Mauro Birattari, Prasanna Balaprakash, Thomas Stützle, Marco Dorigo: Estimation-Based Local Search for Stochastic Combinatorial Optimization Using Delta Evaluations: A Case Study on the Probabilistic Traveling Salesman Problem. INFORMS Journal on Computing 20(4): 644-658 (2008)
- [j19]
- [c39]Renaud Lenne, Christine Solnon, Thomas Stützle, Eric Tannier, Mauro Birattari: Reactive Stochastic Local Search Algorithms for the Genomic Median Problem. EvoCOP 2008: 266-276
- [c38]Marco Antonio Montes de Oca, Thomas Stützle: Convergence behavior of the fully informed particle swarm optimization algorithm. GECCO 2008: 71-78
- [c37]Marco Antonio Montes de Oca, Thomas Stützle: Towards incremental social learning in optimization and multiagent systems. GECCO (Companion) 2008: 1939-1944
- [c36]Marco Antonio Montes de Oca, Ken Van den Enden, Thomas Stützle: Incremental Particle Swarm-Guided Local Search for Continuous Optimization. Hybrid Metaheuristics 2008: 72-86
- [c35]Zhi Yuan, Armin Fügenschuh, Henning Homfeld, Prasanna Balaprakash, Thomas Stützle, Michael Schoch: Iterated Greedy Algorithms for a Real-World Cyclic Train Scheduling Problem. Hybrid Metaheuristics 2008: 102-116
- [p2]Prasanna Balaprakash, Mauro Birattari, Thomas Stützle: Engineering Stochastic Local Search Algorithms: A Case Study in Estimation-Based Local Search for the Probabilistic Travelling Salesman Problem. Recent Advances in Evolutionary Computation for Combinatorial Optimization 2008: 53-66
- [p1]Marco Chiarandini, Irina Dumitrescu, Thomas Stützle: Very Large-Scale Neighborhood Search: Overview and Case Studies on Coloring Problems. Hybrid Metaheuristics 2008: 117-150
- [e4]Marco Dorigo, Mauro Birattari, Christian Blum, Maurice Clerc, Thomas Stützle, Alan F. T. Winfield (Eds.): Ant Colony Optimization and Swarm Intelligence, 6th International Conference, ANTS 2008, Brussels, Belgium, September 22-24, 2008. Proceedings. Lecture Notes in Computer Science 5217, Springer 2008, ISBN 978-3-540-87526-0
- 2007
- [j18]
- [j17]Luis Paquete, Tommaso Schiavinotto, Thomas Stützle: On local optima in multiobjective combinatorial optimization problems. Annals OR 156(1): 83-97 (2007)
- [j16]Marco Chiarandini, Thomas Stützle: Stochastic Local Search Algorithms for Graph Set T -colouring and Frequency Assignment. Constraints 12(3): 371-403 (2007)
- [j15]Tommaso Schiavinotto, Thomas Stützle: A review of metrics on permutations for search landscape analysis. Computers & OR 34(10): 3143-3153 (2007)
- [j14]Rubén Ruiz, Thomas Stützle: A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem. European Journal of Operational Research 177(3): 2033-2049 (2007)
- [j13]Oliver Korb, Thomas Stützle, Thomas E. Exner: An ant colony optimization approach to flexible protein-ligand docking. Swarm Intelligence 1(2): 115-134 (2007)
- [c34]Frank Hutter, Holger H. Hoos, Thomas Stützle: Automatic Algorithm Configuration Based on Local Search. AAAI 2007: 1152-1157
- [c33]Prasanna Balaprakash, Mauro Birattari, Thomas Stützle: Improvement Strategies for the F-Race Algorithm: Sampling Design and Iterative Refinement. Hybrid Metaheuristics 2007: 108-122
- [e3]Thomas Stützle, Mauro Birattari, Holger H. Hoos (Eds.): Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics, International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007, Proceedings. Lecture Notes in Computer Science 4638, Springer 2007, ISBN 978-3-540-74445-0
- 2006
- [j12]Luis Paquete, Thomas Stützle: A study of stochastic local search algorithms for the biobjective QAP with correlated flow matrices. European Journal of Operational Research 169(3): 943-959 (2006)
- [j11]Thomas Stützle: Iterated local search for the quadratic assignment problem. European Journal of Operational Research 174(3): 1519-1539 (2006)
- [j10]Manuel López-Ibáñez, Luís Paquete, Thomas Stützle: Hybrid Population-Based Algorithms for the Bi-Objective Quadratic Assignment Problem. J. Math. Model. Algorithms 5(1): 111-137 (2006)
- [c32]Marco Antonio Montes de Oca, Thomas Stützle, Mauro Birattari, Marco Dorigo: A Comparison of Particle Swarm Optimization Algorithms Based on Run-Length Distributions. ANTS Workshop 2006: 1-12
- [c31]Prasanna Balaprakash, Mauro Birattari, Thomas Stützle, Marco Dorigo: Incremental Local Search in Ant Colony Optimization: Why It Fails for the Quadratic Assignment Problem. ANTS Workshop 2006: 156-166
- [c30]Wolfram Wiesemann, Thomas Stützle: Iterated Ants: An Experimental Study for the Quadratic Assignment Problem. ANTS Workshop 2006: 179-190
- [c29]Max Manfrin, Mauro Birattari, Thomas Stützle, Marco Dorigo: Parallel Ant Colony Optimization for the Traveling Salesman Problem. ANTS Workshop 2006: 224-234
- [c28]Oliver Korb, Thomas Stützle, Thomas E. Exner: PLANTS: Application of Ant Colony Optimization to Structure-Based Drug Design. ANTS Workshop 2006: 247-258
- [c27]Jens Gimmler, Thomas Stützle, Thomas E. Exner: Hybrid Particle Swarm Optimization: An Examination of the Influence of Iterative Improvement Algorithms on Performance. ANTS Workshop 2006: 436-443
- [c26]Jodelson A. Sabino, Thomas Stützle, Mauro Birattari, José Eugênio Leal: ACO Applied to Switch Engine Scheduling in a Railroad Yard. ANTS Workshop 2006: 502-503
- [c25]Marco Chiarandini, Thomas Stützle, Kim S. Larsen: Colour Reassignment in Tabu Search for the Graph Set T-Colouring Problem. Hybrid Metaheuristics 2006: 162-177
- [e2]Marco Dorigo, Luca Maria Gambardella, Mauro Birattari, Alcherio Martinoli, Riccardo Poli, Thomas Stützle (Eds.): Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006, Proceedings. Lecture Notes in Computer Science 4150, Springer 2006, ISBN 3-540-38482-0
- 2005
- [c24]Sven Becker, Jens Gottlieb, Thomas Stützle: Applications of Racing Algorithms: An Industrial Perspective. Artificial Evolution 2005: 271-283
- [c23]Frank Hutter, Holger H. Hoos, Thomas Stützle: Efficient Stochastic Local Search for MPE Solving. IJCAI 2005: 169-174
- 2004
- [b3]Marco Dorigo, Thomas Stützle: Ant colony optimization. MIT Press 2004, ISBN 978-0-262-04219-2, pp. I-XIV, 1-305
- [b2]Holger H. Hoos, Thomas Stützle: Stochastic Local Search: Foundations & Applications. Elsevier / Morgan Kaufmann 2004, ISBN 1-55860-872-9
- [j9]Tommaso Schiavinotto, Thomas Stützle: The linear ordering problem: Instances, search space analysis and algorithms. J. Math. Model. Algorithms 3(4): 367-402 (2004)
- [c22]Lucas Lessing, Irina Dumitrescu, Thomas Stützle: A Comparison Between ACO Algorithms for the Set Covering Problem. ANTS Workshop 2004: 1-12
- [c21]Manuel López-Ibáñez, Luis Paquete, Thomas Stützle: On the Design of ACO for the Biobjective Quadratic Assignment Problem. ANTS Workshop 2004: 214-225
- [c20]Thomas Stützle, Susana Fernandes: New Benchmark Instances for the QAP and the Experimental Analysis of Algorithms. EvoCOP 2004: 199-209
- [c19]Holger H. Hoos, Kevin Smyth, Thomas Stützle: Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SAT. PPSN 2004: 51-60
- [e1]Marco Dorigo, Mauro Birattari, Christian Blum, Luca Maria Gambardella, Francesco Mondada, Thomas Stützle (Eds.): Ant Colony Optimization and Swarm Intelligence, 4th International Workshop, ANTS 2004, Brussels, Belgium, September 5 - 8, 2004, Proceedings. Lecture Notes in Computer Science 3172, Springer 2004, ISBN 3-540-22672-9
- 2003
- [c18]Michael Pavlin, Holger H. Hoos, Thomas Stützle: Stochastic Local Search for Multiprocessor Scheduling for Minimum Total Tardiness. Canadian Conference on AI 2003: 96-113
- [c17]Kevin Smyth, Holger H. Hoos, Thomas Stützle: Iterated Robust Tabu Search for MAX-SAT. Canadian Conference on AI 2003: 129-144
- [c16]Luis Paquete, Thomas Stützle: A Two-Phase Local Search for the Biobjective Traveling Salesman Problem. EMO 2003: 479-493
- [c15]Irina Dumitrescu, Thomas Stützle: Combinations of Local Search and Exact Algorithms. EvoWorkshops 2003: 211-223
- [c14]Tommaso Schiavinotto, Thomas Stützle: Search Space Analysis of the Linear Ordering Problem. EvoWorkshops 2003: 322-333
- 2002
- [j8]Luca Maria Gambardella, Marco Dorigo, Martin Middendorf, Thomas Stützle: Guest editorial: special section on ant colony optimization. IEEE Trans. Evolutionary Computation 6(4): 317-319 (2002)
- [j7]Thomas Stützle, Marco Dorigo: A short convergence proof for a class of ant colony optimization algorithms. IEEE Trans. Evolutionary Computation 6(4): 358-365 (2002)
- [c13]Markus Finger, Thomas Stützle, Helena R. Lourenço: Exploiting Fitness Distance Correlation of Set Covering Problems. EvoWorkshops 2002: 61-71
- [c12]Luis Paquete, Thomas Stützle: An Experimental Investigation of Iterated Local Search for Coloring Graphs. EvoWorkshops 2002: 122-131
- [c11]Mauro Birattari, Thomas Stützle, Luis Paquete, Klaus Varrentrapp: A Racing Algorithm for Configuring Metaheuristics. GECCO 2002: 11-18
- [c10]Olivia Rossi-Doria, Michael Sampels, Mauro Birattari, Marco Chiarandini, Marco Dorigo, Luca Maria Gambardella, Joshua D. Knowles, Max Manfrin, Monaldo Mastrolilli, Ben Paechter, Luis Paquete, Thomas Stützle: A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem. PATAT 2002: 329-354
- 2001
- [j6]Thomas Stützle, Holger H. Hoos: Ameisenalgorithmen zur Lösung kombinatorischer Optimierungsprobleme. KI 15(1): 45-51 (2001)
- [c9]Matthijs den Besten, Thomas Stützle, Marco Dorigo: Design of Iterated Local Search Algorithms. EvoWorkshops 2001: 441-451
- 2000
- [j5]Marco Dorigo, Gianni Di Caro, Thomas Stützle: Ant algorithms. Future Generation Comp. Syst. 16(8) (2000)
- [j4]Thomas Stützle, Holger H. Hoos: MAX-MIN Ant System. Future Generation Comp. Syst. 16(8): 889-914 (2000)
- [j3]Holger H. Hoos, Thomas Stützle: Local Search Algorithms for SAT: An Empirical Evaluation. J. Autom. Reasoning 24(4): 421-481 (2000)
- [c8]Matthijs den Besten, Thomas Stützle, Marco Dorigo: Ant Colony Optimization for the Total Weighted Tardiness Problem. PPSN 2000: 611-620
- [c7]Thomas Stützle, Andreas Grün, Sebastian Linke, Marco Rüttger: A Comparison of Nature Inspired Heuristics on the Traveling Salesman Problem. PPSN 2000: 661-670
1990 – 1999
- 1999
- [b1]Thomas Stützle: Local search algorithms for combinatorial problems - analysis, improvements, and new applications. DISKI 220, Infix 1999, ISBN 978-3-89601-220-3, pp. I-XI, 1-203
- [j2]Holger H. Hoos, Thomas Stützle: Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT. Artif. Intell. 112(1-2): 213-232 (1999)
- [c6]
- 1998
- [c5]Holger H. Hoos, Thomas Stützle: Some Surprising Regularities in the Behaviour of Stochastic Local Search. CP 1998: 470
- [c4]
- [c3]Holger H. Hoos, Thomas Stützle: Evaluating Las Vegas Algorithms: Pitfalls and Remedies. UAI 1998: 238-245
- 1997
- [j1]Thomas Stützle: Lokale Suchverfahren für Constrain Satisfaction Probleme: die min conflicts Heuristik und Tabu Search. KI 11(1): 14-20 (1997)
- [c2]
- 1995
- [c1]
Coauthor Index
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last updated on 2013-10-02 11:09 CEST by the dblp team