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Michael T M Emmerich

Showing results (1-10 of 8) with videos related to

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Natural Computing|September 4, 2018
A tutorial on multiobjective optimization: fundamentals and evolutionary methodsMichael T M Emmerich, André H Deutz
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|May 29, 2025
Simulating epidemic peak dynamics on complex networks using efficient Gillespie algorithmsYulian Kuryliak, Michael T M Emmerich, Dmytro Dosyn
Current Opinion in Structural Biology|February 12, 2023
Artificial intelligence in multi-objective drug designSohvi Luukkonen, Helle W van den Maagdenberg, Michael T M Emmerich, et al.
Evolutionary Computation|November 30, 2011
Mixed integer evolution strategies for parameter optimizationRui Li, Michael T M Emmerich, Jeroen Eggermont, et al.
Journal of Cheminformatics|November 13, 2021
DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacologyXuhan Liu, Kai Ye, Herman W T van Vlijmen, et al.
Journal of Chemical Information and Modeling|June 1, 2012
Multi-objective evolutionary design of adenosine receptor ligandsEelke van der Horst, Patricia Marqués-Gallego, Thea Mulder-Krieger, et al.
Journal of Cheminformatics|January 12, 2021
A multiple classifier system identifies novel cannabinoid CB2 receptor ligandsDavid Ruano-Ordás, Lindsey Burggraaff, Rongfang Liu, et al.
BMC Bioinformatics|June 12, 2010
A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanizationEelke van der Horst, Julio E Peironcely, Adriaan P Ijzerman, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Natural Computing|September 4, 2018
A tutorial on multiobjective optimization: fundamentals and evolutionary methodsMichael T M Emmerich, André H Deutz
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|May 29, 2025
Simulating epidemic peak dynamics on complex networks using efficient Gillespie algorithmsYulian Kuryliak, Michael T M Emmerich, Dmytro Dosyn
Current Opinion in Structural Biology|February 12, 2023
Artificial intelligence in multi-objective drug designSohvi Luukkonen, Helle W van den Maagdenberg, Michael T M Emmerich, et al.
Evolutionary Computation|November 30, 2011
Mixed integer evolution strategies for parameter optimizationRui Li, Michael T M Emmerich, Jeroen Eggermont, et al.
Journal of Cheminformatics|November 13, 2021
DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacologyXuhan Liu, Kai Ye, Herman W T van Vlijmen, et al.
Journal of Chemical Information and Modeling|June 1, 2012
Multi-objective evolutionary design of adenosine receptor ligandsEelke van der Horst, Patricia Marqués-Gallego, Thea Mulder-Krieger, et al.
Journal of Cheminformatics|January 12, 2021
A multiple classifier system identifies novel cannabinoid CB2 receptor ligandsDavid Ruano-Ordás, Lindsey Burggraaff, Rongfang Liu, et al.
BMC Bioinformatics|June 12, 2010
A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanizationEelke van der Horst, Julio E Peironcely, Adriaan P Ijzerman, et al.
Pageof 1