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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)
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)
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)
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)
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)
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)
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. 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)
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)
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. 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)
P. Briest, D. Brockhoff, B. Degener,
M. Englert, C. Gunia, O. Heering, T. Jansen, M. Leifhelm, K. Plociennik,
H. Röglin, A. Schweer, D. Sudholt, S. Tannenbaum, and I. Wegener.
Experimental Supplements to the Theoretical Analysis of EAs on
Problems from Combinatorial Optimization.
In X. Yao et al., editors, Conference on Parallel Problem Solving from
Nature (PPSN VIII), volume 3242 of LNCS, pages 21–30,
Berlin, Germany, 2004. Springer.
(bibtex)
(online access)
P. Briest, D. Brockhoff, B. Degener,
M. Englert, C. Gunia, O. Heering, T. Jansen, M. Leifhelm, K. Plociennik,
H. Röglin, A. Schweer, D. Sudholt, S. Tannenbaum, and I. Wegener.
The Ising Model: Simple Evolutionary Algorithms as Adaptation
Schemes.
In X. Yao et al., editors, Conference on Parallel Problem Solving from
Nature (PPSN VIII), volume 3242 of LNCS, pages 31–40,
Berlin, Germany, 2004. Springer.
(bibtex)
(online access)
D. Brockhoff.
Theoretical Aspects of Evolutionary Multiobjective Optimization—A
Review.
Rapport de Recherche RR-7030, INRIA Saclay—Île-de-France, September 2009.
(bibtex)
(online access)
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)
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)
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)
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)
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)
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)
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)