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T. Ulrich, J. Bader, and E. Zitzler.
Integrating Decision Space Diversity into Hypervolume-based
Multiobjective Search.
In Genetic and Evolutionary Computation Conference (GECCO 2010),
New York, NY, USA, 2010. ACM.
to appear.
(bibtex)
J. Bader.
Hypervolume-Based Search for Multiobjective Optimization: Theory and
Methods.
PhD thesis, ETH Zurich, Switzerland, 2010.
(PDF)
(bibtex)
(online access)
T. Hohm, E. Zitzler, and R. Simon.
A Dynamic Model for Stem Cell Homeostasis and Patterning in
Arabidopsis Meristems.
PLoS ONE, 5(2):e9189, 2010.
(PDF)
(doi)
(bibtex)
J. Bader and E. Zitzler.
Robustness in Hypervolume-based Multiobjective Search.
TIK Report 317, Computer Engineering and Networks Laboratory (TIK), ETH
Zurich, 2010.
(PDF)
(bibtex)
M. Woehrle, D. Brockhoff, T. Hohm, and
S. Bleuler.
Investigating Coverage and Connectivity Trade-offs in Wireless Sensor
Networks: The Benefits of MOEAs.
In M. Ehrgott et al., editors, Multiple Criteria Decision Making for
Sustainable Energy and Transportation Systems (MCDM 2008), volume 634
of LNEMS, pages 211–221, Heidelberg, Germany, 2010. Springer.
(bibtex)
J. Bader, K. Deb, and E. Zitzler.
Faster Hypervolume-based Search using Monte Carlo Sampling.
In M. Ehrgott et al., editors, Conference on Multiple Criteria Decision
Making (MCDM 2008), volume 634 of LNEMS, pages 313–326,
Heidelberg, Germany, 2010.
(bibtex)
T. Hohm, E. Zitzler, and R. Simon.
A dynamic model for stem cell homeostasis and patterning in
Arabidopsis meristems.
TIK Report 316, Computer Engineering and Networks Laboratory (TIK), ETH
Zurich, 2009.
under review at PLoS ONE.
(PDF)
(bibtex)
T. Hohm and E. Zitzler.
A Multiobjective Evolutionary Algorithm for Numerical Parameter Space
Characterization of Reaction Diffusion Systems.
In V. Kadirkamanathan et al., editors, International Conference on
Pattern Recognition in Bioinformatics (PRIB 2009), volume 5780 of
LNBI, pages 162–174, Heidelberg, Germany, 2009. Springer.
(PDF)
(doi)
(bibtex)
(online access)
T. Hohm and E. Zitzler.
Multicellular Pattern Formation: Parameter Estimation for ODE-based
Gene Regulatory Network Models.
IEEE Eng Med Biol, 28(4):52–57, 2009.
(PDF)
(bibtex)
(suppl. material)
Overall best paper award at PRIB '07
A. Auger, J. Bader, D. Brockhoff, and
E. Zitzler.
Articulating User Preferences in Many-Objective Problems by Sampling
the Weighted Hypervolume.
In G. Raidl et al., editors, Genetic and Evolutionary Computation
Conference (GECCO 2009), pages 555–562, New York, NY, USA, 2009. ACM.
(PDF)
(bibtex)
A. Auger, J. Bader, D. Brockhoff, and
E. Zitzler.
Investigating and Exploiting the Bias of the Weighted Hypervolume to
Articulate User Preferences.
In G. Raidl et al., editors, Genetic and Evolutionary Computation
Conference (GECCO 2009), pages 563–570, New York, NY, USA, 2009. ACM.
(PDF)
(bibtex)
T. Hohm and E. Zitzler.
Multiobjectivization for parameter estimation: a case-study on the
segment polarity network of drosophila.
In F. Rothlauf et al., editors, GECCO '09: Genetic and Evolutionary
Computation Conference (GECCO 2009), pages 209–216, New York, NY,
USA, 2009. ACM.
(PDF)
(doi)
(bibtex)
J. Bader and E. Zitzler.
HypE: An Algorithm for Fast Hypervolume-Based Many-Objective
Optimization.
Evolutionary Computation, page no appear, 2009.
to appear.
(bibtex)
D. Brockhoff, T. Friedrich,
N. Hebbinghaus, C. Klein, F. Neumann, and E. Zitzler.
On the Effects of Adding Objectives to Plateau Functions.
IEEE Transactions on Evolutionary Computation, 13(3):591–603,
2009.
(doi)
(bibtex)
D. Brockhoff and E. Zitzler.
Objective Reduction in Evolutionary Multiobjective Optimization:
Theory and Applications.
Evolutionary Computation, 17(2):135–166, 2009.
(PDF)
(bibtex)
(suppl. material)
J. Bader, D. Brockhoff, S. Welten, and
E. Zitzler.
On Using Populations of Sets in Multiobjective Optimization.
In M. Ehrgott et al., editors, Conference on Evolutionary Multi-Criterion
Optimization (EMO 2009), volume 5467 of LNCS, pages
140–154. Springer, 2009.
(PDF)
(bibtex)
T. Siegfried, S. Bleuler, M. Laumanns,
E. Zitzler, and W. Kinzelbach.
Multi-Objective Groundwater Management Using Evolutionary
Algorithms.
IEEE Transactions on Evolutionary Computation, 13(2):229–242,
2009.
(PDF)
(doi)
(bibtex)
D. Brockhoff and E. Zitzler.
Automated Aggregation and Omission of Objectives to Handle
Many-Objective Problems.
In Conference on Multiple Objective and Goal Programming (MOPGP
2008), Lecture Notes in Economics and Mathematical Systems. Springer,
2009.
to appear.
(bibtex)
J. Bader and E. Zitzler.
A Hypervolume-Based Optimizer for High-Dimensional Objective
Spaces.
In Conference on Multiple Objective and Goal Programming (MOPGP
2008), Lecture Notes in Economics and Mathematical Systems. Springer,
2009.
(PDF)
(bibtex)
(suppl. material)
A. Auger, J. Bader, D. Brockhoff, and
E. Zitzler.
Theory of the Hypervolume Indicator: Optimal μ-Distributions and
the Choice of the Reference Point.
In Foundations of Genetic Algorithms (FOGA 2009), pages 87–102,
New York, NY, USA, 2009. ACM.
(PDF)
(bibtex)
(suppl. material)
E. Zitzler, L. Thiele, and J. Bader.
On Set-Based Multiobjective Optimization (Revised Version).
TIK Report 300, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
December 2008.
(PDF)
(bibtex)
E. Zitzler, J. Knowles, and L. Thiele.
Quality Assessment of Pareto Set Approximations.
In J. Branke, K. Deb, K. Miettinen, and R. Slowinski, editors,
Multiobjective Optimization: Interactive and Evolutionary
Approaches, pages 373–404. Springer, 2008.
(bibtex)
(online access)
J. Bader and E. Zitzler.
HypE: An Algorithm for Fast Hypervolume-Based Many-Objective
Optimization.
TIK Report 286, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
November 2008.
(PDF)
(bibtex)
(suppl. material)
E. Zitzler, L. Thiele, and J. Bader.
On Set-Based Multiobjective Optimization.
IEEE Transactions on Evolutionary Computation, 2009.
to appear.
(bibtex)
M. Woehrle, D. Brockhoff, T. Hohm, and
S. Bleuler.
Investigating Coverage and Connectivity Trade-offs in Wireless Sensor
Networks: The Benefits of MOEAs.
TIK Report 294, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
October 2008.
(PDF)
(bibtex)
E. Zitzler, L. Thiele, and J. Bader.
SPAM: Set Preference Algorithm for Multiobjective
Optimization.
In G. Rudolph et al., editors, Conference on Parallel Problem Solving
From Nature (PPSN X), volume 5199 of LNCS, pages
847–858. Springer, 2008.
(PDF)
(bibtex)
(online access)
D. Brockhoff, T. Friedrich, and
F. Neumann.
Analyzing Hypervolume Indicator Based Algorithms.
In G. Rudolph et al., editors, Conference on Parallel Problem Solving
From Nature (PPSN X), volume 5199 of LNCS, pages
651–660. Springer, 2008.
(PDF)
(bibtex)
(online access)
T. Ulrich, D. Brockhoff, and E. Zitzler.
Pattern Identification in Pareto-Set Approximations.
In M. Keijzer et al., editors, Genetic and Evolutionary Computation
Conference (GECCO 2008), pages 737–744. ACM, 2008.
(PDF)
(bibtex)
T. Hohm, M. Egli, S. Gaehwiler,
S. Bleuler, J. Feller, D. Frick, R. Huber, M. Karlsson, R. Lingenhag,
T. Ruetimann, T. Sasse, T. Steiner, J. Stocker, and E. Zitzler.
An Evolutionary Algorithm for the Block Stacking Problem.
In N. Monmarché et al., editors, Evolution Artificielle 2007,
volume 4926 of LNCS, pages 111–122, Berlin, Germany, 2008.
Springer.
(PDF)
(doi)
(bibtex)
Best student paper award at EA '07
W. Gronwald, T. Hohm, and D. Hoffmann.
Evolutionary Pareto-optimization of stably folding peptides.
BMC Bioinformatics, 9(109), 2008.
(PDF)
(doi)
(bibtex)
S. Bleuler, P. Zimmermann, M. Friberg,
and E. Zitzler.
Discovering Trends in Gene Expression Data Using a Hybrid Evolutionary
Algorithm.
Algorithmic Operations Research, 3(2), 2008.
(bibtex)
S. Bleuler, J. Bader, and E. Zitzler.
Reducing Bloat in GP with Multiple Objectives.
In J. Knowles, D. Corne, and K. Deb, editors, Multiobjective Problem
Solving from Nature: From Concepts to Applications, pages 177–200.
Springer, 2007.
(bibtex)
(online access)
D. Brockhoff, D. K. Saxena, K. Deb, and
E. Zitzler.
On Handling a Large Number of Objectives A Posteriori and During
Optimization.
In J. Knowles, D. Corne, and K. Deb, editors, Multiobjective Problem
Solving from Nature: From Concepts to Applications, pages 377–403.
Springer, 2007.
(doi)
(bibtex)
(online access)
(suppl. material)
D. Brockhoff and E. Zitzler.
Improving Hypervolume-based Multiobjective Evolutionary Algorithms by
Using Objective Reduction Methods.
In Congress on Evolutionary Computation (CEC 2007), pages
2086–2093. IEEE Press, 2007.
(PDF)
(bibtex)
(suppl. material)
M. Woehrle, D. Brockhoff, and T. Hohm.
A New Model for Deployment Coverage and Connectivity of Wireless
Sensor Networks.
TIK-Report 278, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
September 2007.
(PDF)
(bibtex)
M. Terzer, M. Jovanovic, A. Choutko,
O. Nikolayeva, A. Korn, D. Brockhoff, F. Zürcher, M. Friedmann,
R. Schütz, E. Zitzler, J. Stelling, and S. Panke.
Design of a biological half adder.
IET Synthetic Biology, 1(1–2):53–58, 2007.
(PDF)
(bibtex)
(online access)
D. Brockhoff, T. Friedrich,
N. Hebbinghaus, C. Klein, F. Neumann, and E. Zitzler.
Do Additional Objectives Make a Problem Harder?.
In D. Thierens et al., editors, Genetic and Evolutionary Computation
Conference (GECCO 2007), pages 765–772, New York, NY, USA, 2007.
ACM Press.
(PDF)
(bibtex)
(online access)
S. Bleuler and E. Zitzler.
Discrimination of Metabolic Flux Profiles Using a Hybrid Evolutionary
Algorithm.
In Genetic and Evolutionary Computation Conference (GECCO 2007),
pages 354–360, 2007.
(PDF)
(bibtex)
(suppl. material)
Best paper award at GECCO '07 in 'Biological Applications Track'
D. Brockhoff and E. Zitzler.
Dimensionality Reduction in Multiobjective Optimization: The Minimum
Objective Subset Problem.
In K. H. Waldmann and U. M. Stocker, editors, Operations Research
Proceedings 2006, pages 423–429. Springer, 2007.
(PDF)
(bibtex)
(online access)
(suppl. material)
D. Brockhoff and E. Zitzler.
Offline and Online Objective Reduction in Evolutionary Multiobjective
Optimization Based on Objective Conflicts.
TIK Report 269, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
April 2007.
(PDF)
(bibtex)
(suppl. material)
T. Hohm and E. Zitzler.
Modeling the Shoot Apical Meristem in A. thaliana: Parameter
Estimation for Spatial Pattern Formation.
In Elena Marchiori, Jason H. Moore, and Jagath C. Rajapakse, editors,
Evolutionary Computation, Machine Learning and Data Mining in
Bioinformatics (evoBIO 2007), volume 4447 of LNCS, pages
102–113. Springer, 2007.
(PDF)
(doi)
(bibtex)
E. Zitzler, D. Brockhoff, and
L. Thiele.
The Hypervolume Indicator Revisited: On the Design of Pareto-compliant
Indicators Via Weighted Integration.
In S. Obayashi et al., editors, Conference on Evolutionary
Multi-Criterion Optimization (EMO 2007), volume 4403 of
LNCS, pages 862–876, Berlin, 2007. Springer.
(PDF)
(bibtex)
(online access)
(suppl. material)
D. Schöner, S. Barkow, S. Bleuler,
A. Wille, P. Zimmermann, P. Bühlmann, W. Gruissem, and E. Zitzler.
Network Analysis of Systems Elements.
In S. Baginsky and A. R. Fernie, editors, Plant Systems Biology,
pages 331–351. Birkhäuser, Basel, Switzerland, 2007.
(bibtex)
(online access)
D. Brockhoff and E. Zitzler.
Are All Objectives Necessary? On Dimensionality Reduction in
Evolutionary Multiobjective Optimization.
In T. P. Runarsson et al., editors, Conference on Parallel Problem
Solving from Nature (PPSN IX), volume 4193 of LNCS,
pages 533–542, Berlin, Germany, 2006. Springer.
(PDF)
(bibtex)
(online access)
(suppl. material)
M. Calonder, S. Bleuler, and E. Zitzler.
Module Identification from Heterogeneous Biological Data Using
Multiobjective Evolutionary Algorithms.
In T. P. Runarsson et al., editors, Conference on Parallel Problem
Solving from Nature (PPSN IX), volume 4193 of LNCS,
pages 573–582. Springer, 2006.
(PDF)
(bibtex)
(online access)
(suppl. material)
M. Basseur and E. Zitzler.
A Preliminary Study On Handling Uncertainty in Multiobjective
Optimization.
In F. Rothlauf, J. Branke, S. Cagnoni, et al., editors, European Workshop
on Evolutionary Algorithms in Stochastic and Noisy Environments
(EvoSTOC 2006), volume 3907 of LNCS, pages 727–739.
Springer, 2006.
(PDF)
(bibtex)
D. Brockhoff and E. Zitzler.
Dimensionality Reduction in Multiobjective Optimization with (Partial)
Dominance Structure Preservation: Generalized Minimum Objective Subset
Problems.
TIK Report 247, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
April 2006.
(PDF)
(bibtex)
(suppl. material)
S. Barkow, S. Bleuler, A. Prelic,
P. Zimmermann, and E. Zitzler.
BicAT: a Biclustering Analysis Toolbox.
Bioinformatics, 22(10):1282–1283, 2006.
(bibtex)
(online access)
(suppl. material)
M. Laumanns, L. Thiele, and E. Zitzler.
An Efficient, Adaptive Parameter Variation Scheme for Metaheuristics
Based on the Epsilon-Constraint Method.
European Journal of Operational Research, 169(3):932–942, March
2006.
(PDF)
(bibtex)
A. Prelic, S. Bleuler, P. Zimmermann,
A. Wille, P. Bühlmann, W. Gruissem, L. Hennig, L. Thiele, and E. Zitzler.
A Systematic Comparison and Evaluation of Biclustering Methods for
Gene Expression Data.
Bioinformatics, 22(9):1122–1129, 2006.
(bibtex)
(online access)
(suppl. material)
J. Knowles, L. Thiele, and E. Zitzler.
A Tutorial on the Performance Assessment of Stochastic Multiobjective
Optimizers.
TIK Report 214, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
February 2006.
(PDF)
(bibtex)
D. Brockhoff and E. Zitzler.
On Objective Conflicts and Objective Reduction in Multiple Criteria
Optimization.
TIK Report 243, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
February 2006.
(PDF)
(bibtex)
(suppl. material)
A. Prelic, S. Bleuler,
P. Zimmermann, A. Wille, P. Bühlmann, W. Gruissem, L. Hennig, L. Thiele,
and E. Zitzler.
Comparison of Biclustering Methods: A Systematic Comparison and
Evaluation of Biclustering Methods for Gene Expression Data.
TIK Report 227, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
February 2006.
(PDF)
(bibtex)
S. Künzli, L. Thiele, and
E. Zitzler.
Multi-criteria Decision Making in Embedded System Design.
In B. M. Al-Hashimi, editor, System On Chip: Next Generation
Electronics, pages 3–28. IEE Press, London, UK, 2006.
(PDF)
(bibtex)
M. Basseur and E. Zitzler.
Handling Uncertainty in Indicator-Based Multiobjective
Optimization.
International Journal of Computational Intelligence Research,
2(3):255–272, 2006.
(PDF)
(bibtex)
S. Bleuler, P. Zimmermann, M. Friberg,
A. Wille, S. Barkow, D. Brockhoff, D. Schöner, L. Hennig, P. Bühlmann,
W. Gruissem, L. Thiele, and E. Zitzler.
Cluster Analysis of Multiple Time Course Data Sets.
TIK Report 241, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
2006.
(bibtex)
H.-G. Beyer, U.-M. O'Reilly, D. V.
Arnold, W. Banzhaf, C. Blum, E. W. Bonabeau, E. Cantu-Paz, D. Dasgupta,
K. Deb, J. A. Foster, E. D. de Jong, H. Lipson, X. Llora, S. Mancoridis,
M. Pelikan, G. R. Raidl, T. Soule, A. M. Tyrrell, J.-P. Watson, and
E. Zitzler, editors.
Genetic and Evolutionary Computation Conference (GECCO
2005), New York, NY, 2005. ACM Press.
(bibtex)
S. Künzli, L. Thiele, and
E. Zitzler.
Modular Design Space Exploration Framework for Embedded
Systems.
IEE Proceedings Computers and Digital Techniques, 152(2):183–192,
2005.
(PDF)
(bibtex)
S. Bleuler and E. Zitzler.
Order Preserving Clustering over Multiple Time Course
Experiments.
In EvoWorkshops 2005, volume 3449 of LNCS, pages
33–43. Springer, 2005.
(PDF)
(bibtex)
(online access)
C. A. Coello Coello, A. Hernandez
Aguirre, and E. Zitzler, editors.
Evolutionary Multi-Criterion Optimization (EMO 2005), volume
3242 of LNCS, Berlin, Germany, 2005. Springer.
(bibtex)
(online access)
K. Deb, L. Thiele, M. Laumanns, and
E. Zitzler.
Scalable Test Problems for Evolutionary Multi-Objective
Optimization.
In A. Abraham, R. Jain, and R. Goldberg, editors, Evolutionary
Multiobjective Optimization: Theoretical Advances and Applications,
chapter 6, pages 105–145. Springer, 2005.
(bibtex)
(online access)
S. Künzli, S. Bleuler, L. Thiele,
and E. Zitzler.
A Computer Engineering Benchmark Application for Multiobjective
Optimizers.
In C. A. Coello Coello and G. Lamont, editors, Applications of
Multi-Objective Evolutionary Algorithms, pages 269–294. World
Scientific Publishing, Singapore, 2004.
(bibtex)
(online access)
A. Wille, P. Zimmermann, E. Vranova,
A. Fürholz, O. Laule, S. Bleuler, L. Hennig, A. Prelic, P. von Rohr,
L. Thiele, E. Zitzler, W. Gruissem, and P. Bühlmann.
Sparse Graphical Gaussian Modeling of the Isoprenoid Gene Network in
Arabidopsis thaliana.
Genome Biol, 5(11):R92, 2004.
(PDF)
(bibtex)
(online access)
M. Laumanns, L. Thiele, and E. Zitzler.
Running Time Analysis of Evolutionary Algorithms on a Simplified
Multiobjective Knapsack Problem.
Natural Computing, 3(1):37–51, 2004.
(PDF)
(bibtex)
E. Zitzler and S. Künzli.
Indicator-Based Selection in Multiobjective Search.
In X. Yao et al., editors, Conference on Parallel Problem Solving from
Nature (PPSN VIII), volume 3242 of LNCS, pages 832–842.
Springer, 2004.
(PDF)
(bibtex)
S. Bleuler, A. Prelic, and E. Zitzler.
An EA Framework for Biclustering of Gene Expression Data.
In Congress on Evolutionary Computation (CEC 2004), pages
166–173, Piscataway, NJ, 2004. IEEE.
(PDF)
(bibtex)
M. Laumanns, L. Thiele, and E. Zitzler.
Running Time Analysis of Multiobjective Evolutionary Algorithms on
Pseudo-Boolean Functions.
IEEE Transactions on Evolutionary Computation, 8(2):170–182,
2004.
(PDF)
(bibtex)
N. K. Bambha, S. Bhattacharyya,
J. Teich, and E. Zitzler.
Systematic Integration of Parameterized Local Search into Evolutionary
Algorithms.
IEEE Transactions on Evolutionary Computation, 8(2):137–155,
2004.
(PDF)
(bibtex)
E. Zitzler, M. Laumanns, and S. Bleuler.
A Tutorial on Evolutionary Multiobjective Optimization.
In X. Gandibleux et al., editors, Metaheuristics for Multiobjective
Optimisation, volume 535 of Lecture Notes in Economics and
Mathematical Systems. Springer, 2004.
(PDF)
(bibtex)
R. Hubley, E. Zitzler, and J. Roach.
Evolutionary algorithms for the selection of single nucleotide
polymorphisms.
BMC Bioinformatics, 4(30), 2003.
(bibtex)
(online access)
M. Laumanns, L. Thiele, and E. Zitzler.
Running Time Analysis of Evolutionary Algorithms on Vector-Valued
Pseudo-Boolean Functions.
TIK Report 165, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
May 2003.
(PDF)
(bibtex)
E. Zitzler, L. Thiele, M. Laumanns,
C. M. Fonseca, and V. Grunert da Fonseca.
Performance Assessment of Multiobjective Optimizers: An Analysis and
Review.
IEEE Transactions on Evolutionary Computation, 7(2):117–132,
2003.
(PDF)
(bibtex)
S. Bleuler, M. Laumanns, L. Thiele, and
E. Zitzler.
PISA—A Platform and Programming Language Independent Interface for
Search Algorithms.
In C. M. Fonseca et al., editors, Conference on Evolutionary
Multi-Criterion Optimization (EMO 2003), volume 2632 of
LNCS, pages 494–508, Berlin, 2003. Springer.
(PDF)
(bibtex)
(online access)
(suppl. material)
C. Fonseca, P. Fleming, E. Zitzler,
K. Deb, and L. Thiele, editors.
Evolutionary Multi-Criterion Optimization (EMO 2003), volume
2632 of LNCS, Berlin, Germany, 2003. Springer.
(bibtex)
(online access)
R. Hubley, E. Zitzler, A. Siegel, and
J. Roach.
Multiobjective Genetic Marker Selection.
In Advances in Nature-Inspired Computation: The PPSN VII
Workshops, pages 32–33. University of Reading, UK, September 2002.
(PDF)
(bibtex)
M. Laumanns, L. Thiele, E. Zitzler,
E. Welzl, and K. Deb.
Running Time Analysis of Multi-Objective Evolutionary Algorithms on a
Simple Discrete Optimization Problem.
In Conference on Parallel Problem Solving From Nature (PPSN VII),
volume 2439 of LNCS, pages 44–53. Springer, 2002.
(PDF)
(bibtex)
K. Deb, L. Thiele, M. Laumanns, and
E. Zitzler.
Scalable Multi-Objective Optimization Test Problems.
In Congress on Evolutionary Computation (CEC 2002), pages
825–830. IEEE Press, 2002.
(PDF)
(bibtex)
M. Laumanns, L. Thiele, K. Deb, and
E. Zitzler.
Combining Convergence and Diversity in Evolutionary Multiobjective
Optimization.
Evolutionary Computation, 10(3):263–282, 2002.
(PDF)
(bibtex)
E. Zitzler, M. Laumanns, L. Thiele,
C. M. Fonseca, and V. Grunert da Fonseca.
Why Quality Assessment Of Multiobjective Optimizers Is
Difficult.
In Genetic and Evolutionary Computation Conference (GECCO 2002),
pages 666–674, New York, NY, USA, July 2002. Morgan Kaufmann Publishers.
(PDF)
(bibtex)
M. Laumanns, L. Thiele, K. Deb, and
E. Zitzler.
Archiving with Guaranteed Convergence And Diversity in Multi-objective
Optimization.
In Genetic and Evolutionary Computation Conference (GECCO 2002),
pages 439–447, New York, NY, USA, July 2002. Morgan Kaufmann Publishers.
(PDF)
(bibtex)
E. Zitzler, L. Thiele, M. Laumanns,
C. M. Fonseca, and V. Grunert da Fonseca.
Performance Assessment of Multiobjective Optimizers: An Analysis and
Review.
TIK Report 139, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
June 2002.
(PDF)
(bibtex)
E. Zitzler, M. Laumanns, and L. Thiele.
SPEA2: Improving the Strength Pareto Evolutionary Algorithm for
Multiobjective Optimization.
In K.C. Giannakoglou et al., editors, Evolutionary Methods for Design,
Optimisation and Control with Application to Industrial Problems (EUROGEN
2001), pages 95–100. International Center for Numerical Methods in
Engineering (CIMNE), 2002.
(PDF)
(bibtex)
M. Laumanns, L. Thiele, E. Zitzler,
E. Welzl, and K. Deb.
Running Time Analysis of a Multi-Objective Evolutionary Algorithm on a
Simple Discrete Optimization Problem.
TIK Report 123, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
January 2002.
(PDF)
(bibtex)
E. Zitzler.
Evolutionary Algorithms for Multiobjective Optimization.
In Evolutionary Methods for Design, Optimisation, and Control (EUROGEN
2001), pages 19–26. CIMNE, 2002.
(PDF)
(bibtex)
S. Bleuler, M. Laumanns, L. Thiele, and
E. Zitzler.
PISA — A Platform and Programming Language Independent Interface for
Search Algorithms.
TIK Report 154, Computer Engineering and Networks Laboratory (TIK), ETH
Zurich, October 2002.
(PDF)
(bibtex)
M. Laumanns, E. Zitzler, and L. Thiele.
Multiple Criteria Decision Support by Evolutionary
Computation.
In Sustainability in the Information Society. 15th International
Symposium Informatics for Environmental Protection, pages 547–552,
Zurich, Switzerland, October 2001. Metropolis Verlag.
(PDF)
(bibtex)
K. Deb, L. Thiele, M. Laumanns, and
E. Zitzler.
Scalable Test Problems for Evolutionary Multi-Objective
Optimization.
TIK Report 112, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
July 2001.
(PDF)
(bibtex)
S. Bleuler, M. Brack, L. Thiele, and
E. Zitzler.
Multiobjective Genetic Programming: Reducing Bloat by Using
SPEA2.
In Congress on Evolutionary Computation (CEC 2001), pages
536–543, Piscataway, NJ, 2001. IEEE.
(PDF)
(bibtex)
N. K. Bambha, S. Bhattacharyya,
J. Teich, and E. Zitzler.
Hybrid Search Strategies for Dynamic Voltage Scaling in Embedded
Multiprocessors.
In Symposium on Hardware/Software Codesign, pages 243—-248,
Copenhagen, Denmark, April 2001.
(PDF)
(bibtex)
M. Laumanns, E. Zitzler, and L. Thiele.
On The Effects of Archiving, Elitism, and Density Based Selection in
Evolutionary Multi-Objective Optimization.
In E. Zitzler et al., editors, Conference on Evolutionary Multi-Criterion
Optimization (EMO 2001), volume 1993 of LNCS, pages
181–196. Springer, 2001.
(PDF)
(bibtex)
E. Zitzler, K. Deb, L. Thiele, C. A.
Coello Coello, and D. Corne, editors.
Evolutionary Multi-Criterion Optimization (EMO 2001), volume
1993 of LNCS, Berlin, Germany, 2001. Springer.
(bibtex)
(online access)
M. Laumanns, L. Thiele, K. Deb, and
E. Zitzler.
On the Convergence and Diversity-Preservation Properties of
Multi-Objective Evolutionary Algorithms.
TIK Report 108, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
2001.
(PDF)
(bibtex)
E. Zitzler, M. Laumanns, and L. Thiele.
SPEA2: Improving the Strength Pareto Evolutionary Algorithm.
TIK Report 103, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
Zurich, Switzerland, 2001.
(PDF)
(bibtex)
E. Zitzler, J. Teich, and S. S.
Bhattacharyya.
Evolutionary Algorithms for the Synthesis of Embedded
Software.
IEEE Transactions on Very Large Scale Integration (VLSI) Systems,
8(4):452–456, 2000.
(PDF)
(bibtex)
M. Laumanns, E. Zitzler, and L. Thiele.
A Unified Model for Multi-Objective Evolutionary Algorithms with
Elitism.
In Congress on Evolutionary Computation (CEC 2000), pages 46–53.
IEEE Press, 2000.
(PDF)
(bibtex)
E. Zitzler, J. Teich, and
S. Bhattacharyya.
Optimizing the Efficiency of Parameterized Local Search within Global
Search: A Preliminary Study.
In Congress on Evolutionary Computation (CEC 2000), pages
365–372. IEEE, July 2000.
(PDF)
(bibtex)
E. Zitzler, K. Deb, and L. Thiele.
Comparison of Multiobjective Evolutionary Algorithms: Empirical
Results.
Evolutionary Computation, 8(2):173–195, 2000.
(PDF)
(bibtex)
E. Zitzler, J. Teich, and S. S.
Bhattacharyya.
Multidimensional Exploration of Software Implementations for DSP
Algorithms.
Journal of VLSI Signal Processing, 24(1):83–98, 2000.
(PDF)
(bibtex)
E. Zitzler.
Evolutionary Algorithms for Multiobjective Optimization: Methods and
Applications.
PhD thesis, ETH Zurich, Switzerland, 1999.
(PDF)
(bibtex)
E. Zitzler, K. Deb, and L. Thiele.
Comparison of Multiobjective Evolutionary Algorithms: Empirical
Results (Revised Version).
TIK Report 70, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
December 1999.
(PDF)
(bibtex)
E. Zitzler and L. Thiele.
Multiobjective Evolutionary Algorithms: A Comparative Case Study and
the Strength Pareto Approach.
IEEE Transactions on Evolutionary Computation, 3(4):257–271,
1999.
(PDF)
(bibtex)
M. Eisenring, E. Zitzler, and L. Thiele.
CoFrame: A Modular Co-Design Framework for Heterogeneous Distributed
Systems.
TIK Report 81, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
October 1999.
(PDF)
(bibtex)
E. Zitzler, J. Teich, and
S. Bhattacharyya.
Optimized Software Synthesis for DSP Using Randomization Techniques
(Revised Version of TIK Report 32).
TIK Report 75, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
July 1999.
(PDF)
(bibtex)
E. Zitzler, J. Teich, and
S. Bhattacharyya.
Evolutionary Algorithm Based Exploration of Software Schedules for
Digital Signal Processors.
In Genetic and Evolutionary Computation Conference (GECCO 1999),
pages 1762–1769, Orlando, USA, July 1999. Morgan Kaufmann, San Francisco,
CA.
(PDF)
(bibtex)
E. Zitzler, K. Deb, and L. Thiele.
Comparison of Multiobjective Evolutionary Algorithms on Test Functions
of Different Difficulty.
In Genetic and Evolutionary Computation Conference (GECCO 1999):
Bird-of-a-feather Workshop on Multi-criterion Optimization, July 1999.
(PDF)
(bibtex)
J. Teich, E. Zitzler, and
S. Bhattacharyya.
3D Exploration of Software Schedules for DSP Algorithms.
In Hardware/Software Codesign (CODES 1999), May 1999.
(PDF)
(bibtex)
J. Teich, E. Zitzler, and
S. Bhattacharyya.
3D Exploration of Uniprocessor Schedules for DSP Algorithms.
TIK Report 56, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
April 1999.
(PDF)
(bibtex)
J. Teich, E. Zitzler, and
S. Bhattacharyya.
Optimized Software Synthesis for Digital Signal Processing Algorithms:
An Evolutionary Approach.
In IEEE Workshop on SIGNAL PROCESSING SYSTEMS (SiPS),
October 1998.
(PDF)
(bibtex)
J. Teich, E. Zitzler, and
S. Bhattacharyya.
Buffer Memory Optimization in DSP Applications: An Evolutionary
Approach.
In Conference on Parallel Problem Solving from Nature (PPSN V),
pages 885–894, Amsterdam, September 1998.
(PDF)
(bibtex)
E. Zitzler and L. Thiele.
Multiobjective Optimization Using Evolutionary Algorithms - A
Comparative Case Study.
In Conference on Parallel Problem Solving from Nature (PPSN V),
pages 292–301, Amsterdam, 1998.
(PDF)
(bibtex)
E. Zitzler and L. Thiele.
An Evolutionary Approach for Multiobjective Optimization: The Strength
Pareto Approach.
TIK Report 43, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
May 1998.
(PDF)
(bibtex)
J. Teich, E. Zitzler, and
S. Bhattacharyya.
Optimized Software Synthesis for Digital Signal Processing Algorithms
- An Evolutionary Approach.
TIK Report 32, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
January 1998.
(PDF)
(bibtex)
G. Fankhauser, C. Conrad, E. Zitzler,
and B. Plattner.
Topsy - A Teachable Operating System.
Tik report, Computer Engineering and Networks Laboratory (TIK), ETH Zurich,
January 1997.
(bibtex)