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

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@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