Johannes Kruisselbrink
Johannes Kruisselbrink
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Flexible Self-Organising Maps in kohonen 3.0
R Wehrens, J Kruisselbrink
Journal of Statis, 2018
The MCRA model for probabilistic single-compound and cumulative risk assessment of pesticides
H van der Voet, WJ de Boer, JW Kruisselbrink, PW Goedhart, ...
Food and Chemical Toxicology 79, 5-12, 2015
A high-density, multi-parental SNP genetic map on apple validates a new mapping approach for outcrossing species
EA Di Pierro, L Gianfranceschi, M Di Guardo, HJJ Koehorst-van Putten, ...
Horticulture research 3, 16057, 2016
Combining aggregation with Pareto optimization: a case study in evolutionary molecular design
JW Kruisselbrink, MTM Emmerich, T Bäck, A Bender, AP IJzerman, ...
International Conference on Evolutionary Multi-Criterion Optimization, 453-467, 2009
High-quality, genome-wide SNP genotypic data for pedigreed germplasm of the diploid outbreeding species apple, peach, and sweet cherry through a common workflow
S Vanderzande, NP Howard, L Cai, CDS Linge, L Antanaviciute, ...
BioRxiv, 514281, 2019
PediHaplotyper: software for consistent assignment of marker haplotypes in pedigrees
RE Voorrips, MCAM Bink, JW Kruisselbrink, HJJ Koehorst-van Putten, ...
Molecular Breeding 36 (8), 119, 2016
Evolution strategies for robust optimization
JW Kruisselbrink
Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science …, 2012
An archive maintenance scheme for finding robust solutions
J Kruisselbrink, M Emmerich, T Bäck
International Conference on Parallel Problem Solving from Nature, 214-223, 2010
A European model and case studies for aggregate exposure assessment of pesticides
MC Kennedy, CR Glass, B Bokkers, ADM Hart, PY Hamey, ...
Food and Chemical Toxicology 79, 32-44, 2015
On quality indicators for black-box level set approximation
MTM Emmerich, AH Deutz, JW Kruisselbrink
EVOLVE-A bridge between probability, set oriented numerics and evolutionary …, 2013
Multi-objective evolutionary design of adenosine receptor ligands
E van der Horst, P Marqués-Gallego, T Mulder-Krieger, J van Veldhoven, ...
Journal of chemical information and modeling 52 (7), 1713-1721, 2012
A robust optimization approach using Kriging metamodels for robustness approximation in the CMA-ES
JW Kruisselbrink, MTM Emmerich, AH Deutz, T Bäck
IEEE Congress on Evolutionary Computation, 1-8, 2010
New approaches to uncertainty analysis for use in aggregate and cumulative risk assessment of pesticides
MC Kennedy, H van der Voet, VJ Roelofs, W Roelofs, CR Glass, ...
Food and Chemical Toxicology 79, 54-64, 2015
Cone-based hypervolume indicators: construction, properties, and efficient computation
M Emmerich, A Deutz, J Kruisselbrink, PK Shukla
International conference on evolutionary multi-criterion optimization, 111-127, 2013
Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching
JW Kruisselbrink, A Aleman, M Emmerich, AP IJzerman, A Bender, ...
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
On the log-normal self-adaptation of the mutation rate in binary search spaces
JW Kruisselbrink, R Li, E Reehuis, J Eggermont, T Bäck
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
A decision support tool for assessing scenario acceptability using a hierarchy of indicators with compensabilities and importance weights
H van der Voet, GWAM van der Heijden, JW Kruisselbrink, SO Tromp, ...
Ecological indicators 43, 306-314, 2014
Using the uncertainty handling CMA-ES for finding robust optima
JW Kruisselbrink, E Reehuis, A Deutz, T Bäck, M Emmerich
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
Evolutionary algorithms for automated drug design towards target molecule properties
JW Kruisselbrink, T Bäck, AP IJzerman, E van der Horst
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
MCRA made scalable for large cumulative assessment groups
H van der Voet, WJ de Boer, JW Kruisselbrink, G van Donkersgoed, ...
EFSA Supporting Publications 13 (1), 910E, 2016
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