Oliver Kramer
Oliver Kramer
Professor für Informatik, Universität Oldenburg
Verified email at uni-oldenburg.de
TitleCited byYear
Genetic algorithm essentials
O Kramer
Springer, 2017
Long-term research challenges in wind energy-a research agenda by the European Academy of Wind Energy
G Van Kuik, J Peinke
Springer, 2016
A review of constraint-handling techniques for evolution strategies
O Kramer
Applied Computational Intelligence and Soft Computing 2010, 2010
Evolutionary self-adaptation: a survey of operators and strategy parameters
O Kramer
Evolutionary Intelligence 3 (2), 51-65, 2010
Energy informatics
C Goebel, HA Jacobsen, V del Razo, C Doblander, J Rivera, J Ilg, C Flath, ...
Business & Information Systems Engineering 6 (1), 25-31, 2014
Self-adaptive heuristics for evolutionary computation
O Kramer
Springer, 2008
Evolution of human-competitive agents in modern computer games
S Priesterjahn, O Kramer, A Weimer, A Goebels
2006 IEEE International Conference on Evolutionary Computation, 777-784, 2006
Machine learning ensembles for wind power prediction
J Heinermann, O Kramer
Renewable Energy 89, 671-679, 2016
Comparing support vector regression for PV power forecasting to a physical modeling approach using measurement, numerical weather prediction, and cloud motion data
B Wolff, J Kühnert, E Lorenz, O Kramer, D Heinemann
Solar Energy 135, 197-208, 2016
Computational intelligence: eine Einführung
O Kramer
Springer-Verlag, 2009
K-nearest neighbors
O Kramer
Dimensionality reduction with unsupervised nearest neighbors, 13-23, 2013
Iterated local search with Powell’s method: a memetic algorithm for continuous global optimization
O Kramer
Memetic Computing 2 (1), 69-83, 2010
Dimensionality reduction with unsupervised nearest neighbors
O Kramer
Springer, 2013
Derivative-free optimization
O Kramer, DE Ciaurri, S Koziel
Computational optimization, methods and algorithms, 61-83, 2011
On three new approaches to handle constraints within evolution strategies
O Kramer, HP Schwefel
Natural Computing 5 (4), 363-385, 2006
Short-term wind energy forecasting using support vector regression
O Kramer, F Gieseke
Soft Computing Models in Industrial and Environmental Applications, 6th …, 2011
Statistical learning for short-term photovoltaic power predictions
B Wolff, E Lorenz, O Kramer
Computational sustainability, 31-45, 2016
Learning the track and planning ahead in a car racing controller
J Quadflieg, M Preuss, O Kramer, G Rudolph
Proceedings of the 2010 IEEE Conference on Computational Intelligence and …, 2010
Optimization of elastic properties and weaving patterns of woven composites
IAA Bakar, O Kramer, S Bordas, T Rabczuk
Composite Structures 100, 575-591, 2013
Fast and simple gradient-based optimization for semi-supervised support vector machines
F Gieseke, A Airola, T Pahikkala, O Kramer
Neurocomputing 123, 23-32, 2014
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