Publications of the Systems Optimization Group

2010

[1 — ubz2010a]

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)

[2 — bade2010a]

J. Bader. Hypervolume-Based Search for Multiobjective Optimization: Theory and Methods. PhD thesis, ETH Zurich, Switzerland, 2010. (PDF) (bibtex) (online access)

[3 — hzs2010a]

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)

[4 — bz2010a]

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)

[5 — wbhb2010a]

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)

[6 — bdz2008a]

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)

2009

[1 — hzs2009b]

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)

[2 — hz2009b]

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)

[3 — hz2009c]

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

[4 — abbz2009b]

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)

[5 — abbz2009c]

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)

[6 — hz2009a]

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)

[7 — bz2009d]

J. Bader and E. Zitzler. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization. Evolutionary Computation, page no appear, 2009. to appear. (bibtex)

[8 — bfhk2009a]

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)

[9 — bz2009c]

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)

[10 — bbwz2009a]

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)

[11 — broc2009b]

D. Brockhoff. Many-Objective Optimization and Hypervolume-Based Search. PhD thesis, ETH Zurich, 2009. (bibtex)

[12 — sblz2009a]

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)

[13 — bz2009a]

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)

[14 — bz2009b]

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)

[15 — abbz2009a]

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)

2008

[1 — ztb2008c]

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)

[2 — zkt2008a]

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)

[3 — bz2008a]

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)

[4 — ztb2008d]

E. Zitzler, L. Thiele, and J. Bader. On Set-Based Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 2009. to appear. (bibtex)

[5 — wbhb2008b]

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)

[6 — ztb2008b]

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)

[7 — bfn2008a]

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)

[8 — ubz2008a]

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)

[9 — hegb2008a]

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

[10 — ghh2008a]

W. Gronwald, T. Hohm, and D. Hoffmann. Evolutionary Pareto-optimization of stably folding peptides. BMC Bioinformatics, 9(109), 2008. (PDF) (doi) (bibtex)

[11 — bzfz2008a]

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)

2007

[1 — bbz2007a]

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)

[2 — bsdz2007a]

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)

[3 — bz2007c]

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)

[4 — wbh2007a]

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)

[5 — bleu2007a]

S. Bleuler. Search Heuristics for Module Identification from Biological High-Throughput Data. PhD thesis, ETH Zurich, Switzerland, 2007. (PDF) (bibtex) (online access)

[6 — tjcn2007a]

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)

[7 — bfhk2007a]

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)

[8 — bz2007b]

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'

[9 — bz2007d]

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)

[10 — bz2007a]

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)

[11 — hz2007a]

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)

[12 — zbt2007a]

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)

[13 — sbbw2007a]

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)

2006

[1 — bz2006d]

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)

[2 — cbz2006a]

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)

[3 — bz2006f]

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)

[4 — bz2006c]

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)

[5 — bbpz2006a]

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)

[6 — ltz2006a]

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)

[7 — pbzw2006a]

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)

[8 — ktz2006a]

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)

[9 — bz2006a]

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)

[10 — pbzw2006b]

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)

[11 — ktz2006b]

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)

[12 — bz2006e]

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)

[13 — bzfw2006a]

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)

2005

[1 — boab2005a]

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)

[2 — ktz2005a]

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)

[3 — bz2005a]

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)

[4 — chz2005a]

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)

[5 — dtlz2005a]

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)

2004

[1 — kbtz2004a]

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)

[2 — wzvf2004a]

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)

[3 — ltz2004b]

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)

[4 — zk2004a]

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)

[5 — bpz2004a]

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)

[6 — ltz2004a]

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)

[7 — bbtz2004a]

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)

[8 — zlb2004a]

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)

2003

[1 — hzr2003a]

R. Hubley, E. Zitzler, and J. Roach. Evolutionary algorithms for the selection of single nucleotide polymorphisms. BMC Bioinformatics, 4(30), 2003. (bibtex) (online access)

[2 — ltz2003d]

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)

[3 — ztlf2003a]

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)

[4 — bltz2003a]

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)

[5 — ffzd2003a]

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)

2002

[1 — hzsr2002a]

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)

[2 — ltzw2002b]

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)

[3 — dtlz2002a]

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)

[4 — ltdz2002a]

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)

[5 — zltf2002a]

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)

[6 — ltdz2002b]

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)

[7 — ztlf2002a]

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)

[8 — zlt2002a]

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)

[9 — ltzw2002a]

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)

[10 — zitz2002b]

E. Zitzler. Evolutionary Algorithms for Multiobjective Optimization. In Evolutionary Methods for Design, Optimisation, and Control (EUROGEN 2001), pages 19–26. CIMNE, 2002. (PDF) (bibtex)

2001

[1 — bltz2002a]

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)

[2 — lzt2001b]

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)

[3 — dtlz2001a]

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)

[4 — bbtz2001a]

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)

[5 — bbtz2001b]

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)

[6 — lzt2001a]

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)

[7 — zdtc2001a]

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)

[8 — ltdz2001a]

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)

[9 — zlt2001a]

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)

2000

[1 — ztb2000c]

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)

[2 — lzt2000a]

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)

[3 — ztb2000b]

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)

[4 — zdt2000a]

E. Zitzler, K. Deb, and L. Thiele. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results. Evolutionary Computation, 8(2):173–195, 2000. (PDF) (bibtex)

[5 — ztb2000a]

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)

[6 — etz2000a]

M. Eisenring, L. Thiele, and E. Zitzler. Conflicting Criteria in Embedded System Design. IEEE Design & Test, 17(2):51–59, 2000. (PDF) (bibtex)

1999

[1 — zitz1999a]

E. Zitzler. Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications. PhD thesis, ETH Zurich, Switzerland, 1999. (PDF) (bibtex)

[2 — zdt1999b]

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)

[3 — zt1999a]

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)

[4 — ezt1999a]

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)

[5 — ztb1999b]

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)

[6 — ztb1999a]

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)

[7 — zdt1999a]

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)

[8 — tzb1999a]

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)

[9 — tzb1999b]

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)

1998

[1 — tzb1998a]

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)

[2 — tzb1998b]

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)

[3 — zt1998b]

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)

[4 — zt1998a]

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)

[5 — tzb1998c]

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)

1997

[1 — fczp1997a]

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)