Silja Meyer-Nieberg
Zitiert von
Zitiert von
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
Self-adaptation in evolutionary algorithms
S Meyer-Nieberg, HG Beyer
Parameter setting in evolutionary algorithms, 47-75, 2007
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 (3), 965-983, 2017
Self-adaptation of evolution strategies under noisy fitness evaluations
HG Beyer, S Meyer-Nieberg
Genetic Programming and Evolvable Machines 7 (4), 295-328, 2006
Self-adaptation in evolution strategies
S Meyer-Nieberg
Dortmund, Techn. Univ., Diss., 2007, 2007
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
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 (1), 7-24, 2005
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 50 (2), 413-435, 2016
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
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
The dynamical systems approach-progress measures and convergence properties
S Meyer-Nieberg, HG Beyer
Handbook of natural computing, 741-814, 2012
Self-Adaptation in Evolutionary Algorithms. En F. Lobo, C. Lima, & Z. Michalewicz (Eds.), Parameter Setting in Evolutionary Algorithms (Vol. 54, pp. 19-46)
S Meyer-Nieberg, HG Beyer
Springer Berlin/Heidelberg, 2007
Evolving artificial neural networks for multi-objective tasks
S Künzel, S Meyer-Nieberg
International Conference on the Applications of Evolutionary Computation …, 2018
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
Mutative self-adaptation on the sharp and parabolic ridge
S Meyer-Nieberg, HG Beyer
International Workshop on Foundations of Genetic Algorithms, 70-96, 2007
Moving target search optimization–a literature review
M Raap, M Preuß, S Meyer-Nieberg
Computers & Operations Research 105, 132-140, 2019
Self-adaptation on the ridge function class: First results for the sharp ridge
HG Beyer, S Meyer-Nieberg
Parallel Problem Solving from Nature-PPSN IX, 72-81, 2006
Time to dispense with the p-value in OR?
M Hofmann, S Meyer-Nieberg
Central European Journal of Operations Research 26 (1), 193-214, 2018
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
Operations research for risk management in strategic foresight
M Zsifkovits, S Meyer-Nieberg, S Pickl
Planet@ Risk 3 (2), 2015
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