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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)
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)
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
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)
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)
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)
T. Hohm, P.Limbourg, and D. Hoffmann.
A Multiobjective Evolutionary Method for the Design of Peptide
Mimotopes.
Journal of Computational Biology, 13(1):113–125, 2006.
(doi)
(bibtex)
T. Hohm and D. Hoffmann.
A multi-objective evolutionary approach to peptide structure redesign
and stabilization.
In H.-G. Beyer and U.-M. O'Reilly, editors, Genetic and Evolutionary
Computation Conference (GECCO 2005), pages 423–429, New York, NY,
USA, 2005. ACM Press.
(PDF)
(doi)
(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)
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)
T. Hohm and P. Limbourg.
Optimierung von Peptidsequenzen mittels multikriterieller Heuristiken
– Berechnung der Peptidfaltung in gitterbasierten Modellen (in
German).
Master's thesis, Universität Dortmund, 2003.
(PDF)
(bibtex)