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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'
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)
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)
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)
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)
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)
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)
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)
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, 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, 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)
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)
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)