Marco Laumanns
Marco Laumanns
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Cited by
Cited by
SPEA2: Improving the strength Pareto evolutionary algorithm
E Zitzler, M Laumanns, L Thiele
TIK report 103, 2001
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
Scalable test problems for evolutionary multiobjective optimization
K Deb, L Thiele, M Laumanns, E Zitzler
Evolutionary multiobjective optimization: theoretical advances and …, 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
Combining convergence and diversity in evolutionary multiobjective optimization
M Laumanns, L Thiele, K Deb, E Zitzler
Evolutionary computation 10 (3), 263-282, 2002
A tutorial on evolutionary multiobjective optimization
E Zitzler, M Laumanns, S Bleuler
Metaheuristics for multiobjective optimisation, 3-37, 2004
PISA—a platform and programming language independent interface for search algorithms
S Bleuler, M Laumanns, L Thiele, E Zitzler
Evolutionary Multi-Criterion Optimization: Second International Conference …, 2003
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
SPEA2: Improving the performance of the strength pareto evolutionary algorithm
E Zitzler
Technical Report, Computer Engineering and Communication Networks Lab (TIK …, 2001
A spatial predator-prey approach to multi-objective optimization: A preliminary study
M Laumanns, G Rudolph, HP Schwefel
International conference on parallel problem solving from nature, 241-249, 1998
A unified model for multi-objective evolutionary algorithms with elitism
M Laumanns, E Zitzler, L Thiele
Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No …, 2000
Bayesian optimization algorithms for multi-objective optimization
M Laumanns, J Ocenasek
International Conference on Parallel Problem Solving from Nature, 298-307, 2002
Running time analysis of multiobjective evolutionary algorithms on pseudo-boolean functions
M Laumanns, L Thiele, E Zitzler
IEEE Transactions on Evolutionary Computation 8 (2), 170-182, 2004
A model predictive control approach for discrete-time rescheduling in complex central railway station areas
G Caimi, M Fuchsberger, M Laumanns, M Lüthi
Computers & Operations Research 39 (11), 2578-2593, 2012
On the effects of archiving, elitism, and density based selection in evolutionary multi-objective optimization
M Laumanns, E Zitzler, L Thiele
International Conference on Evolutionary Multi-Criterion Optimization, 181-196, 2001
Why quality assessment of multiobjective optimizers is difficult
E Zitzler, M Laumanns, L Thiele, CM Fonseca, VG da Fonseca
Proceedings of the 4th annual conference on genetic and evolutionary …, 2002
Archiving with guaranteed convergence and diversity in multi-objective optimization
M Laumanns, L Thiele, E Zitzler, K Deb
Proceedings of the 4th Annual Conference on Genetic and Evolutionary …, 2002
A typology and literature review on stochastic multi-echelon inventory models
T De Kok, C Grob, M Laumanns, S Minner, J Rambau, K Schade
European Journal of Operational Research 269 (3), 955-983, 2018
Running time analysis of multi-objective evolutionary algorithms on a simple discrete optimization problem
M Laumanns, L Thiele, E Zitzler, E Welzl, K Deb
Parallel Problem Solving from Nature—PPSN VII: 7th International Conference …, 2002
SPEA2: Improving the strength Pareto evolutionary algorithm for multiobjective optimization
E Ziztler, M Laumanns, L Thiele
Evolutionary methods for design, optimization, and control, 95-100, 2002
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