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The Applicability of the Genetic Algorithm on Spatial Distribution of Demographic Characteristics  

Choei, Nae-Young (홍익대학교 공과대학 건설도시공학부 도시공학)
Lee, Kyung-Yoon (홍익대학교 대학원 도시계획학과)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.18, no.3, 2010 , pp. 49-56 More about this Journal
Abstract
The Genetic Algorithm is one of the population surface modelling tool in the field of urban and environmental research based on the gridded population data. Taking the East-Hwasung area as the case, this study first builds a gridded population data based on the GIS databases as well as municipal population survey data. The study then constructs the attribute values of the explanatory variables by way of GIS tools. The regression model constructed with the same variables is also run as a comparative purpose at the same time. It is shown that the GenAlg output predicted as much consistent and meaningful coefficient estimates for the explanatory variables as the regression model, indicating that it is a very useful interdisciplinary research tool to find optimal solutions in urban problems.
Keywords
Genetic Algorithm; Population Surface Model; Gridded Population Data; KLIS; eAIS;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Yue, T.X., Du, Z.P. and Song, Y.J., 2008, "Spatial Models and Geographic Information Systems", Encyclopedia of Ecology, pp.3315-3325.   DOI
2 Brookes, C.J., 2001, "A Genetic Algorithm for Designing Optimal Patch Configurations in GIS", International Journal of Geographical Information Science, Vol. 15, pp.539-559.   DOI   ScienceOn
3 Holland, H.H., 1975, Adaptation in Natural and Artificial Systems, The University of Michigan Press, Ann Arbor.
4 Koza, J.R., 1990, Genetic Programming: A Paradigm for Genetically Breeding Populations of Computer Programs to Solve Problems, Stanford University Report, Report No. STAN- CS-90-1394.
5 Li, X. and Yeh, A.G., 2005, "Integration of Genetic Algorithms and GIS for Optimal Location Search", International Journal of Geographical Information Science, Vol. 19, pp.581-601.   DOI   ScienceOn
6 김형복, 전병은, 최내영, 2006, 기반시설부담금에 관한 법률 및 그 운영에 대한 특강자료, 대한국토도시계획학회 국토도시아카데미.
7 최내영, 2009. "인구격자 셀 버퍼공간 설정에 의한 기반시설부담구역경계 검토방안 연구", 한국지형공간정보학회지, 한국지형공간정보학회, 제17권, 4호, pp.53-60.   과학기술학회마을
8 화성시, 2004, 화성시 기반시설부담구역 지정 및 부담계획 기준수립 연구.
9 Anselin, L., Lozano N. and Koschinsky. J., 2006, Rate Transformations and Smoothing, A discussion paper of the Spatial Analysis Laboratory, University of Illinois at Urbana-Champaign.
10 Balakrishnan, P.V. and Jacob V.S., 1996, "Genetic Algorithms for Product Design", Management Science, Vol 42, pp.1105-1117.   DOI   ScienceOn
11 Yue, T.X., Wang, Y.A., Chen, S.P., Liu, J.Y., Qiu, D.S., Deng, X.Z., Liu, M.L. and Tian, Y.Z., 2003, "Numerical Simulation of Population Distribution in China", Population and Environment, Vol. 25, pp.141-163.   DOI
12 국토해양부, 2008a, 기반시설부담구역제도 시행 및 운영활성화를 위한 연구.
13 국토해양부, 2008b, 기반시설부담구역제도 운영편람.
14 김형복, 홍철진, 2003, "개발에 따른 기반시설부담비용의 적정배분에 관한 연구," 국토계획, 대한국토도시계획학회, 제 38권, 3호, pp.259-74.
15 Muttil, N. and Lee J., 2005, "Genetic Programming for Analysis and Real-time Prediction of Coastal Algal Blooms", Ecological Modelling, Vol. 189, pp.363-376.   DOI
16 Su, M.C. and Chang, H.T., 2000, "Application of Neural Networks Incorporated with Real-valued Genetic Algorithms in Knowledge Acquisition", Fuzzy Sets and Systems, Vol. 112, pp.85-97.   DOI   ScienceOn