Marco Laumanns
Marco Laumanns
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Titel
Zitiert von
Zitiert von
Jahr
SPEA2: Improving the strength Pareto evolutionary algorithm
E Zitzler, M Laumanns, L Thiele
TIK-report 103, 2001
9501*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
34342003
Scalable test problems for evolutionary multiobjective optimization
K Deb, L Thiele, M Laumanns, E Zitzler
Evolutionary multiobjective optimization, 105-145, 2005
16882005
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
14802002
Combining convergence and diversity in evolutionary multiobjective optimization
M Laumanns, L Thiele, K Deb, E Zitzler
Evolutionary computation 10 (3), 263-282, 2002
14732002
A tutorial on evolutionary multiobjective optimization
E Zitzler, M Laumanns, S Bleuler
Metaheuristics for multiobjective optimisation, 3-37, 2004
7302004
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
5732003
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
3172006
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
2241998
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
2062000
SPEA 2: improving the strength Pareto evolutionary algorithm, TIK report 103
E Zitzler, M Laumanns, L Thiele
Computer Engineering and Networks Laboratory (TIK), ETH Zurich, Zurich …, 2001
2042001
Bayesian optimization algorithms for multi-objective optimization
M Laumanns, J Ocenasek
International Conference on Parallel Problem Solving from Nature, 298-307, 2002
1532002
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
1482012
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
1462002
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
1452001
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
1412002
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
1282004
Running time analysis of multi-objective evolutionary algorithms on a simple discrete optimization problem
M Laumanns, L Thiele, E Zitzler, E Welzl, K Deb
International Conference on Parallel Problem Solving from Nature, 44-53, 2002
1042002
A chaos search immune algorithm with its application to neuro-fuzzy controller design
XQ Zuo, YS Fan
Chaos, Solitons & Fractals 30 (1), 94-109, 2006
972006
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
882002
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