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Silja Meyer-Nieberg
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Electric load forecasting methods: Tools for decision making
H Hahn, S Meyer-Nieberg, S Pickl
European journal of operational research 199 (3), 902-907, 2009
7332009
Self-adaptation in evolutionary algorithms
S Meyer-Nieberg, HG Beyer
Parameter setting in evolutionary algorithms, 47-75, 2007
2772007
Fuzzy prediction strategies for gene-environment networks–Fuzzy regression analysis for two-modal regulatory systems
E Kropat, A Özmen, GW Weber, S Meyer-Nieberg, O Defterli
RAIRO-Operations Research-Recherche Opérationnelle 50 (2), 413-435, 2016
552016
Aerial vehicle search-path optimization: A novel method for emergency operations
M Raap, S Meyer-Nieberg, S Pickl, M Zsifkovits
Journal of Optimization Theory and Applications 172, 965-983, 2017
332017
Self-adaptation in evolution strategies.
S Meyer-Nieberg
Dortmund University of Technology, 2007
322007
Moving target search optimization–a literature review
M Raap, M Preuß, S Meyer-Nieberg
Computers & Operations Research 105, 132-140, 2019
252019
On the analysis of self-adaptive recombination strategies: First results
S Meyer-Nieberg, HG Beyer
2005 IEEE Congress on Evolutionary Computation 3, 2341-2348, 2005
242005
Self-adaptation of evolution strategies under noisy fitness evaluations
HG Beyer, S Meyer-Nieberg
Genetic Programming and Evolvable Machines 7 (4), 295-328, 2006
232006
Collaborative risk management for national security and strategic foresight: Combining qualitative and quantitative operations research approaches
M Dehmer, S Meyer-Nieberg, G Mihelcic, S Pickl, M Zsifkovits
EURO Journal on Decision Processes 3 (3-4), 305-337, 2015
222015
A new approach for predicting the final outcome of evolution strategy optimization under noise
HG Beyer, DV Arnold, S Meyer-Nieberg
Genetic Programming and Evolvable Machines 6, 7-24, 2005
222005
Evolving artificial neural networks for multi-objective tasks
S Künzel, S Meyer-Nieberg
Applications of Evolutionary Computation: 21st International Conference …, 2018
172018
Intercepting a target with sensor swarms
S Meyer-Nieberg, E Kropat, S Pickl, A Bordetsky
2013 46th Hawaii International Conference on System Sciences, 1222-1230, 2013
142013
The dynamical systems approach—Progress measures and convergence properties
S Meyer-Nieberg, HG Beyer
Handbook of natural computing, 741-814, 2012
142012
Time to dispense with the p-value in OR? Rationale and implications of the statement of the American Statistical Association (ASA) on p-values
M Hofmann, S Meyer-Nieberg
Central European Journal of Operations Research 26, 193-214, 2018
132018
Why noise may be good: Additive noise on the sharp ridge
S Meyer-Nieberg, HG Beyer
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
132008
Mutative self-adaptation on the sharp and parabolic ridge
S Meyer-Nieberg, HG Beyer
Foundations of Genetic Algorithms: 9th International Workshop, FOGA 2007 …, 2007
132007
Electric load forecasting using support vector machines for robust regression.
S De Cosmis, R De Leone, E Kropat, S Meyer-Nieberg, S Pickl
SpringSim (EAIA), 9, 2013
112013
Coping with opponents: multi-objective evolutionary neural networks for fighting games
S Künzel, S Meyer-Nieberg
Neural Computing and Applications 32 (17), 13885-13916, 2020
102020
Slime mold inspired evolving networks under uncertainty (SLIMO)
E Kropat, S Meyer-Nieberg
2014 47th Hawaii International Conference on System Sciences, 1153-1161, 2014
102014
Self-adaptation on the ridge function class: First results for the sharp ridge
HG Beyer, S Meyer-Nieberg
International Conference on Parallel Problem Solving from Nature, 72-81, 2006
102006
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