Genetic Programming Bibliography entries for Gea-Jae Joo
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
GP coauthors/coeditors:
Hong-Qing Cao,
Friedrich Recknagel,
Dong-Kyun Kim,
Kwang-Seuk Jeong,
Peter Alexander Whigham,
Ji-Deok Jang,
R I (Bob) McKay,
Tae-Soo Chon,
Hyun-Woo Kim,
Genetic Programming Articles by Gea-Jae Joo
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Kwang-Seuk Jeong and Ji-Deok Jang and Dong-Kyun Kim and Gea-Jae Joo.
Waterfowls habitat modelling: Simulation of nest site selection for the migratory Little Tern (Sterna albifrons) in the Nakdong estuary.
Ecological Modelling, 222(17):3149-3156, 2011.
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Dong-Kyun Kim and Kwang-Seuk Jeong and Robert Ian (Bob) McKay and Tae-Soo Chon and Hyun-Woo Kim and Gea-Jae Joo.
Model development in freshwater ecology with a case study using evolutionary computation.
Journal of Ecology and Field Biology, 33(4):275-288, 2010.
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Dong-Kyun Kim and Kwang-Seuk Jeong and Peter A. Whigham and Gea-Jae Joo.
Winter diatom blooms in a regulated river in South Korea: explanations based on evolutionary computation.
Freshwater Biology, 52:2021-2041, 2007.
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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.
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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.
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Kwang-Seuk Jeong and Dong-Kyun Kim and Peter Whigham and Gea-Jae Joo.
Modelling Microcystis aeruginosa bloom dynamics in the Nakdong River by means of evolutionary computation and statistical approach.
Ecological Modelling, 161(1-2):67-78, 2003.
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