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Silja Meyer-Nieberg
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2020 – today
- 2022
- [c30]Steven Künzel
, Silja Meyer-Nieberg
ANN-EMOA: Evolving Neural Networks Efficiently. EvoApplications 2022: 402-417 - 2020
- [j11]Steven Künzel
Coping with opponents: multi-objective evolutionary neural networks for fighting games. Neural Comput. Appl. 32(17): 13885-13916 (2020)
2010 – 2019
- 2019
- [j10]Manon Raap
Moving target search optimization - A literature review. Comput. Oper. Res. 105: 132-140 (2019) - [j9]Erik Kropat
Computational networks and systems - homogenization of variational problems on micro-architectured networks and devices. Optim. Methods Softw. 34(3): 586-611 (2019) - 2018
- [j8]Marko A. Hofmann
Time to dispense with the p-value in OR? Central Eur. J. Oper. Res. 26(1): 193-214 (2018) - [j7]Silja Meyer-Nieberg
Can Evolution Strategies Benefit from Shrinkage Estimators? Trans. Comput. Collect. Intell. 28: 116-142 (2018) - [c29]Steven Künzel
Evolving Artificial Neural Networks for Multi-objective Tasks. EvoApplications 2018: 671-686 - [c28]Marko A. Hofmann, Silja Meyer-Nieberg
Inferential Statistics and simulation Generated samples: a Critical Reflection. WSC 2018: 479-490 - 2017
- [j6]Manon Raap
Aerial Vehicle Search-Path Optimization: A Novel Method for Emergency Operations. J. Optim. Theory Appl. 172(3): 965-983 (2017) - [c27]Silja Meyer-Nieberg
Coordinating a team of searchers: of ants, swarms, and slime molds. GECCO 2017: 27-34 - 2016
- [j5]Erik Kropat
Fuzzy prediction strategies for gene-environment networks - Fuzzy regression analysis for two-modal regulatory systems. RAIRO Oper. Res. 50(2): 413-435 (2016) - [c26]Erik Kropat
Introduction to the Minitrack on Humanitarian Operations Research - Decision Analytics for Crisis and Disaster Management. HICSS 2016: 1368 - [c25]Erik Kropat
A Multi-layered Adaptive Network Approach for Shortest Path Planning During Critical Operations in Dynamically Changing and Uncertain Environments. HICSS 2016: 1369-1378 - [c24]Silja Meyer-Nieberg, Erik Kropat
Evolution Strategies and Covariance Matrix Adaptation - Investigating New Shrinkage Techniques. ICAART (2) 2016: 105-116 - 2015
- [j4]Ulrich Faigle, Erik Kropat
Preface. Discret. Appl. Math. 192: 1 (2015) - [c23]Silja Meyer-Nieberg
Small populations, high-dimensional spaces: Sparse covariance matrix adaptation. FedCSIS 2015: 525-535 - [c22]Silja Meyer-Nieberg, Martin Zsifkovits, Dominik Hauschild, Stefan Luther:
Simulation-Based Analyses for Critical Infrastructure Protection: Identifying Risks by Using Data Farming. OR 2015: 349-354 - [c21]Silja Meyer-Nieberg, Erik Kropat
Sparse Covariance Matrix Adaptation Techniques for Evolution Strategies. SGAI Conf. 2015: 5-21 - [c20]Martin Zsifkovits, Marian Sorin Nistor
Quantitative network analysis for passenger pattern recognition: An analysis of railway stations. SoCPaR 2015: 247-252 - 2014
- [c19]Erik Kropat
Slime Mold Inspired Evolving Networks under Uncertainty (SLIMO). HICSS 2014: 1153-1161 - [c18]Silja Meyer-Nieberg
Tracking Targets under Uncertainty: Natural Computing Approaches. HICSS 2014: 1162-1171 - [c17]Silja Meyer-Nieberg, Erik Kropat:
Adapting the Covariance Matrix in Evolution Strategies. ICORES 2014: 89-99 - [c16]Silja Meyer-Nieberg
A New Look at the Covariance Matrix Estimation in Evolution Strategies. ICORES (Selected Papers) 2014: 157-172 - [c15]Klaus Arto, Bo Hu, Armin Leopold, Silja Meyer-Nieberg, Goran Mihelcic, Jan Stutzki, Tim Tepel:
Modellbasierende Früherkennung politischer Krisen: Prototyp einer serviceorientiertenPlattform. MKWI 2014: 278-293 - [c14]Erik Kropat, Silja Meyer-Nieberg, Goran Mihelcic, Stefan Pickl:
Service Oriented Approaches for Crisis and Disaster Management. MKWI 2014: 336-348 - 2013
- [c13]Silja Meyer-Nieberg
Intercepting a Target with Sensor Swarms. HICSS 2013: 1222-1230 - [c12]Silja Meyer-Nieberg, Erik Kropat, Stefan Pickl:
Evolutionary Particle Filters: Model-free Object Tracking - Combining Evolution Strategies and Particle Filters. ICORES 2013: 96-102 - [c11]Silja Meyer-Nieberg, Erik Kropat
Dynamical Supply Networks for Crisis and Disaster Relief: Networks Resilience and Decision Support in Uncertain Environments. OR 2013: 309-315 - [c10]Sonia De Cosmis, Renato De Leone, Erik Kropat, Silja Meyer-Nieberg, Stefan Pickl:
Electric load forecasting using support vector machines for robust regression. SpringSim (EAIA) 2013: 9 - 2012
- [c9]Sonia De Cosmis, Renato De Leone, Erik Kropat, Silja Meyer-Nieberg, Stefan Pickl, Jessica Rosati:
Electric Load Forecasting: An Experimental Comparison. CTW 2012: 100-103 - [p2]Silja Meyer-Nieberg
The Dynamical Systems Approach - Progress Measures and Convergence Properties. Handbook of Natural Computing 2012: 741-814 - [e1]Andreas Brieden, Zafer-Korcan Görgülü, Tino Krug, Erik Kropat, Silja Meyer-Nieberg, Goran Mihelcic, Stefan Wolfgang Pickl:
11th Cologne-Twente Workshop on Graphs and Combinatorial Optimization, Munich, Germany, May 29-31, 2012. Extended Abstracts. 2012, ISBN 978-3-943207-05-7 [contents]
2000 – 2009
- 2009
- [j3]Heiko Hahn, Silja Meyer-Nieberg
Electric load forecasting methods: Tools for decision making. Eur. J. Oper. Res. 199(3): 902-907 (2009) - 2008
- [c8]Silja Meyer-Nieberg, Hans-Georg Beyer
Why noise may be good: additive noise on the sharp ridge. GECCO 2008: 511-518 - 2007
- [b1]Silja Meyer-Nieberg:
Self-adaptation in evolution strategies. Dortmund University of Technology, 2007 - [c7]Silja Meyer-Nieberg, Hans-Georg Beyer
Mutative Self-adaptation on the Sharp and Parabolic Ridge. FOGA 2007: 70-96 - [p1]Silja Meyer-Nieberg
Self-Adaptation in Evolutionary Algorithms. Parameter Setting in Evolutionary Algorithms 2007: 47-75 - 2006
- [j2]Hans-Georg Beyer
Self-adaptation of evolution strategies under noisy fitness evaluations. Genet. Program. Evolvable Mach. 7(4): 295-328 (2006) - [c6]Ulrike Leopold-Wildburger, Silja Meyer-Nieberg, Stefan Pickl, Jörg Schütze:
A Simulation Application for Predator-Prey Systems. OR 2006: 233-238 - [c5]Hans-Georg Beyer
Self-adaptation on the Ridge Function Class: First Results for the Sharp Ridge. PPSN 2006: 72-81 - 2005
- [j1]Hans-Georg Beyer
A New Approach for Predicting the Final Outcome of Evolution Strategy Optimization Under Noise. Genet. Program. Evolvable Mach. 6(1): 7-24 (2005) - [c4]Silja Meyer-Nieberg, Hans-Georg Beyer:
On the analysis of self-adaptive recombination strategies: first results. Congress on Evolutionary Computation 2005: 2341-2348 - [c3]Hans-Georg Beyer
On the Prediction of the Solution Quality in Noisy Optimization. FOGA 2005: 238-259 - 2004
- [c2]Hans-Georg Beyer
On the Quality Gain of (1, lambda)-ES Under Fitness Noise. PPSN 2004: 1-10 - 2002
- [c1]Silja Meyer-Nieberg, Stefan Pickl:
Simulation eines CO 2 -Zertifikatenhandels und algorithmische Optimierung von Investitionen. OR 2002: 471-473
Coauthor Index
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