Genetic Programming Bibliography entries for Gea-Jae Joo

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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

  1. 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. details

  2. 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. details

  3. 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. details

  4. 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. details

  5. 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. details

  6. 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. details