| Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach E Zitzler, L Thiele IEEE transactions on Evolutionary Computation 3 (4), 257-271, 2002 | 11412 | 2002 |
| SPEA2: Improving the strength Pareto evolutionary algorithm E Zitzler, M Laumanns, L Thiele TIK report 103, 2001 | 11178 | 2001 |
| Comparison of multiobjective evolutionary algorithms: Empirical results E Zitzler, K Deb, L Thiele Evolutionary computation 8 (2), 173-195, 2000 | 7959 | 2000 |
| Performance assessment of multiobjective optimizers: An analysis and review E Zitzler, L Thiele, M Laumanns, CM Fonseca, VG Da Fonseca IEEE Transactions on evolutionary computation 7 (2), 117-132, 2003 | 5343 | 2003 |
| Multiobjective optimization using evolutionary algorithms—a comparative case study E Zitzler, L Thiele International conference on parallel problem solving from nature, 292-301, 1998 | 3426 | 1998 |
| Scalable test problems for evolutionary multiobjective optimization K Deb, L Thiele, M Laumanns, E Zitzler Evolutionary multiobjective optimization: theoretical advances and …, 2005 | 2993 | 2005 |
| Scalable multi-objective optimization test problems K Deb, L Thiele, M Laumanns, E Zitzler Proceedings of the 2002 congress on evolutionary computation. CEC'02 (Cat …, 2002 | 2252 | 2002 |
| Combining convergence and diversity in evolutionary multiobjective optimization M Laumanns, L Thiele, K Deb, E Zitzler Evolutionary computation 10 (3), 263-282, 2002 | 1988 | 2002 |
| A systematic comparison and evaluation of biclustering methods for gene expression data A Prelić, S Bleuler, P Zimmermann, A Wille, P Bühlmann, W Gruissem, ... Bioinformatics 22 (9), 1122-1129, 2006 | 1280 | 2006 |
| An evolutionary algorithm for multiobjective optimization: The strength pareto approach E Zitzler, L Thiele TIK report 43, 1998 | 1173 | 1998 |
| A tutorial on the performance assessment of stochastic multiobjective optimizers JD Knowles, L Thiele, E Zitzler Tik report 214, 2006 | 978 | 2006 |
| A comparison of selection schemes used in evolutionary algorithms T Blickle, L Thiele Evolutionary Computation 4 (4), 361-394, 1996 | 936 | 1996 |
| The hypervolume indicator revisited: On the design of Pareto-compliant indicators via weighted integration E Zitzler, D Brockhoff, L Thiele International Conference on Evolutionary Multi-Criterion Optimization, 862-876, 2007 | 890 | 2007 |
| Efficient network flooding and time synchronization with glossy F Ferrari, M Zimmerling, L Thiele, O Saukh Proceedings of the 10th ACM/IEEE International Conference on Information …, 2011 | 883 | 2011 |
| Real-time calculus for scheduling hard real-time systems L Thiele, S Chakraborty, M Naedele 2000 IEEE international symposium on circuits and systems (ISCAS) 4, 101-104, 2000 | 860 | 2000 |
| Multiobjective Optimization Using Evolutionary E Zitzler, L Thiele Wiley, Hoboken, 2001 | 719 | 2001 |
| PISA—a platform and programming language independent interface for search algorithms S Bleuler, M Laumanns, L Thiele, E Zitzler International conference on evolutionary multi-criterion optimization, 494-508, 2003 | 648 | 2003 |
| A comparison of selection schemes used in genetic algorithms T Blickle, L Thiele TIK-report 11 (2), 1995 | 581 | 1995 |
| A preference-based evolutionary algorithm for multi-objective optimization L Thiele, K Miettinen, PJ Korhonen, J Molina Evolutionary computation 17 (3), 411-436, 2009 | 536 | 2009 |
| An efficient, adaptive parameter variation scheme for metaheuristics based on the epsilon-constraint method M Laumanns, L Thiele, E Zitzler European Journal of Operational Research 169 (3), 932-942, 2006 | 513 | 2006 |
Eckart ZitzlerHead of Research, Lucerne University of Applied Sciences and ArtsVerified email at eckartzitzler.com
