Model development in freshwater ecology with a case study using evolutionary computation

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Kim:2010:JEFB,

• title = "Model development in freshwater ecology with a case study using evolutionary computation",
• author = "Dong-Kyun Kim and Kwang-Seuk Jeong and Robert Ian (Bob) McKay and Tae-Soo Chon and Hyun-Woo Kim and Gea-Jae Joo",
• journal = "Journal of Ecology and Field Biology",
• year = "2010",
• volume = "33",
• number = "4",
• pages = "275--288",
• keywords = "genetic algorithms, genetic programming, complex river ecosystem, data learning process, ecological modelling, evolutionary computation, phytoplankton proliferation, time-series prediction",
• publisher = "The Ecological Society of Korea",
• ISSN = "1975020X",
• bibsource = "OAI-PMH server at www.doaj.org",
• oai = "oai:doaj-articles:106a56dd95b26b529756fc55459cac1e",
• broken = "http://ocean.kisti.re.kr/is/mv/showPDF_ocean.jsp?method=download\&pYear=2010\&koi=KISTI1.1003/JNL.JAKO201001039068061\&sp=275\&CN1=JAKO201001039068061\&poid=kesk\&kojic=STHHCL\&sVnc=v33n4\&sFree=",
• broken = "http://www.doaj.org/doaj?func=openurl&genre=article&issn=1975020X&date=2010&volume=33&issue=4&spage=275",
• indirect_pointer = "http://astp.jst.go.jp/modules/search/DocumentDetail/1225-0317%2B%2540%2B1975-020x%2B%2540%2B_33_4_Model%2Bdevelopment%2Bin%2Bfreshwater%2Becology%2Bwith%2Ba%2Bcase%2Bstudy%2Busing%2Bevolutionary%2Bcomputation_N%252FA",
• DOI = "doi:10.5141/JEFB.2010.33.4.275",
• size = "14 pages",
• abstract = "Ecological modelling faces some unique problems in dealing with complex environment-organism relationships,making it one of the toughest domains that might be encountered by a modeller. Newer technologies and ecosystem modelling paradigms have recently been proposed, all as part of a broader effort to reduce the uncertainty in modelling from qualitative and quantitative imperfections in the ecological data. In this paper, evolutionary computation modelling approaches are introduced and proposed as useful modelling tools for ecosystems. The results of our case study support the applicability of an algal predictive model constructed via genetic programming. In conclusion, we propose that evolutionary computation may constitute a powerful tool for the modelling of highly complex objects, such as river ecosystems.",

}

Genetic Programming entries for Dong-Kyun Kim Kwang-Seuk Jeong R I (Bob) McKay Tae-Soo Chon Hyun-Woo Kim Gea-Jae Joo

Citations