Genetic Programming Bibliography entries for Friedrich Recknagel
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Created by W.Langdon from
Byron He Zhang,
Philip T Orr,
Wai Sum Chan,
Peter Alexander Whigham,
Maria Isabel de Almeida Rocha,
R T Minoti,
V L M Huszar,
F L R M Starling,
C W C Branco,
Genetic Programming Articles by Friedrich Recknagel
M. I. A. Rocha and F. Recknagel and R. T. Minoti and V. L. M. Huszar and B. Kozlowsky-Suzuki and H. Cao and F. L. R. M. Starling and C. W. C. Branco.
Assessing the effect of abiotic variables and zooplankton on picocyanobacterial dominance in two tropical mesotrophic reservoirs by means of evolutionary computation.
Water Research, 149(1):120-129, 2019.
Hongqing Cao and Friedrich Recknagel and Michael Bartkow.
Spatially-explicit forecasting of cyanobacteria assemblages in freshwater lakes by multi-objective hybrid evolutionary algorithms.
Ecological Modelling, 342:97-112, 2016.
Hongqing Cao and Friedrich Recknagel and Philip T. Orr.
Parameter Optimization Algorithms for Evolving Rule Models Applied to Freshwater Ecosystems.
IEEE Transactions on Evolutionary Computation, 18(6):793-806, 2014.
Hongqing Cao and Friedrich Recknagel and Lydia Cetin and Byron Zhang.
Process-based simulation library SALMO-OO for lake ecosystems. Part 2: Multi-objective parameter optimization by evolutionary algorithms.
Ecological Informatics, 3(2):181-190, 2008.
Wai Sum Chan and Friedrich Recknagel and Hongqing Cao and Ho-Dong Park.
Elucidation and short-term forecasting of microcystin concentrations in Lake Suwa (Japan) by means of artificial neural networks and evolutionary algorithms.
Water Research, 41(10):2247-2255, 2007.
Dong-Kyun Kim and Hongqing Cao and Kwang-Seuk Jeong and Friedrich Recknagel and Gea-Jae Joo.
Predictive function and rules for population dynamics of Microcystis aeruginosa in the regulated Nakdong River (South Korea), discovered by evolutionary algorithms.
Ecological Modelling, 203(1-2):147-156, 2007.
Special Issue on Ecological Informatics: Biologically-Inspired Machine Learning, 4th Conference of the International Society for Ecological Informatics.
Friedrich Recknagel and Hongqing Cao and Bomchul Kim and Noriko Takamura and Amber Welk.
Unravelling and forecasting algal population dynamics in two lakes different in morphometry and eutrophication by neural and evolutionary computation.
Ecological Informatics, 1(2):133-151, 2006.
Hongqing Cao and Friedrich Recknagel and Gea-Jae Joo and Dong-Kyun Kim.
Discovery of Predictive Rule Sets for Chlorophyll-a Dynamics in the Nakdong River (Korea) by Means of the Hybrid Evolutionary Algorithm HEA.
Ecological Informatics, 1(1):43-53, 2006.
Friedrich Recknagel and Jason Bobbin and Peter A. Whigham and Hugh Wilson.
Comparative Application of Artificial Neural Networks and Genetic Algorithms for Multivariate Time Series Modelling of Algal Blooms in Freshwater Lakes.
Journal of Hydroinformatics, 4(2):125-133, 2002.
Peter A. Whigham and Friedrich Recknagel.
An inductive approach to ecological time series modelling by evolutionary computation.
Ecological Modelling, 146(1-3):275-287, 2001.
Genetic Programming book chapters by Friedrich Recknagel
Hongqing Cao and Friedrich Recknagel and Bomchul Kim and Noriko Takamura.
Hybrid Evolutionary Algorithm for Rule Set Discovery in Time-Series Data to Forecast and Explain Algal Population Dynamics in Two Lakes Different in Morphometry and Eutrophication. In
Friedrich Recknagel editor,
Ecological Informatics: Scope, Techniques and Applications, chapter 17, pages 347-367. Springer-Verlag, Berlin, Heidelberg, New York, 2006.