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Hongqing Cao
Hongqing Cao
University of Adelaide, University of Nottingham, Wuhan University
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Year
Evolutionary modeling of systems of ordinary differential equations with genetic programming
H Cao, L Kang, Y Chen, J Yu
Genetic Programming and Evolvable Machines 1, 309-337, 2000
1902000
Inductive reasoning and forecasting of population dynamics of Cylindrospermopsis raciborskii in three sub-tropical reservoirs by evolutionary computation
F Recknagel, PT Orr, H Cao
Harmful Algae 31, 26-34, 2014
692014
Elucidation and short-term forecasting of microcystin concentrations in Lake Suwa (Japan) by means of artificial neural networks and evolutionary algorithms
WS Chan, F Recknagel, H Cao, HD Park
Water Research 41 (10), 2247-2255, 2007
672007
Ecological relationships, thresholds and time-lags determining phytoplankton community dynamics of Lake Kinneret, Israel elucidated by evolutionary computation and wavelets
F Recknagel, I Ostrovsky, H Cao, T Zohary, X Zhang
Ecological Modelling 255, 70-86, 2013
592013
The kinetic evolutionary modeling of complex systems of chemical reactions
H Cao, J Yu, L Kang, Y Chen, Y Chen
Computers & chemistry 23 (2), 143-151, 1999
591999
Evolving cell models for systems and synthetic biology
H Cao, FJ Romero-Campero, S Heeb, M Cámara, N Krasnogor
Systems and synthetic biology 4, 55-84, 2010
512010
Unravelling and forecasting algal population dynamics in two lakes different in morphometry and eutrophication by neural and evolutionary computation
F Recknagel, H Cao, B Kim, N Takamura, A Welk
Ecological Informatics 1 (2), 133-151, 2006
512006
Early warning of limit-exceeding concentrations of cyanobacteria and cyanotoxins in drinking water reservoirs by inferential modelling
F Recknagel, PT Orr, M Bartkow, A Swanepoel, H Cao
Harmful algae 69, 18-27, 2017
482017
Predictive function and rules for population dynamics of Microcystis aeruginosa in the regulated Nakdong River (South Korea), discovered by evolutionary algorithms
DK Kim, H Cao, KS Jeong, F Recknagel, GJ Joo
ecological modelling 203 (1-2), 147-156, 2007
472007
Structure and parameter estimation for cell systems biology models
FJ Romero-Campero, H Cao, M Cámara, N Krasnogor
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
422008
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
H Cao, F Recknagel, B Kim, N Takamura
Ecological Informatics: Scope, Techniques and Applications, 347-367, 2006
392006
Spatially-explicit modelling and forecasting of cyanobacteria growth in Lake Taihu by evolutionary computation
X Zhang, F Recknagel, Q Chen, H Cao, R Li
Ecological Modelling 306, 216-225, 2015
312015
Parameter optimization algorithms for evolving rule models applied to freshwater ecosystems
H Cao, F Recknagel, PT Orr
IEEE Transactions on Evolutionary Computation 18 (6), 793-806, 2013
292013
An evolutionary approach for modeling the equivalent circuit for electrochemical impedance spectroscopy
H Cao, J Yu, L Kang
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 3, 1819-1825, 2003
282003
Process-based simulation library SALMO-OO for lake ecosystems. Part 2: Multi-objective parameter optimization by evolutionary algorithms
H Cao, F Recknagel, L Cetin, B Zhang
Ecological Informatics 3 (2), 181-190, 2008
252008
Discovery of predictive rule sets for chlorophyll-a dynamics in the Nakdong River (Korea) by means of the hybrid evolutionary algorithm HEA
H Cao, F Recknagel, GJ Joo, DK Kim
Ecological Informatics 1 (1), 43-53, 2006
252006
Enhanced functionality of the redesigned hybrid evolutionary algorithm HEA demonstrated by predictive modelling of algal growth in the Wivenhoe Reservoir, Queensland (Australia)
H Cao, F Recknagel, PT Orr
Ecological modelling 252, 32-43, 2013
232013
Flow regulation for water quality (chlorophyll a) improvement
KS Jeong, DK Kim, HS Shin, HW Kim, H Cao, MH Jang, GJ Joo
International Journal of Environmental Research 4 (4), 713-724, 2010
232010
A two-level hybrid evolutionary algorithm for modeling one-dimensional dynamic systems by higher-order ODE models
HQ Cao, LS Kang, T Guo, YP Chen, H de Garis
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 30 …, 2000
232000
Threshold quantification and short-term forecasting of Anabaena, Aphanizomenon and Microcystis in the polymictic eutrophic Lake Müggelsee (Germany) by …
F Recknagel, R Adrian, J Köhler, H Cao
Hydrobiologia 778, 61-74, 2016
222016
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