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Volumn 25, Issue 12, 2011, Pages 1949-1969

Spatial multi-objective land use optimization: Extensions to the non-dominated sorting genetic algorithm-II

Author keywords

China; land use planning; multi objective optimization; NSGA II MOLU; planning support systems; spatial land use optimization; Tongzhou New Town

Indexed keywords

DECISION SUPPORT SYSTEM; EFFICIENCY MEASUREMENT; FUTURE PROSPECT; GENETIC ALGORITHM; LAND USE PLANNING; OPTIMIZATION; RESEARCH WORK; SPATIAL ANALYSIS;

EID: 84858795122     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2011.570269     Document Type: Article
Times cited : (204)

References (40)
  • 3
    • 34250203344 scopus 로고    scopus 로고
    • Using Simulated annealing and spatial goal programming for solving a multi site land use allocation problem
    • Aerts, J.C.J.H., Herwijnen, M.v. and Stewart, T.J. 2003b. Using Simulated annealing and spatial goal programming for solving a multi site land use allocation problem. Lecture Notes in Computer Science, 2632: 448-463.
    • (2003) Lecture Notes in Computer Science , vol.2632 , pp. 448-463
    • Aerts, J.C.J.H.1    Herwijnen, M.V.2    Stewart, T.J.3
  • 6
    • 1842588967 scopus 로고    scopus 로고
    • Generating future land use and transportation plans for high-growth cities using a Genetic Algorithm
    • Balling, R., Powell, B. and Saito, M. 2004. Generating future land use and transportation plans for high-growth cities using a Genetic Algorithm. Computer-Aided Civil and Infrastructure Engineering, 19(2004): 213-222.
    • (2004) Computer-Aided Civil and Infrastructure Engineering , vol.19 , Issue.2004 , pp. 213-222
    • Balling, R.1    Powell, B.2    Saito, M.3
  • 10
    • 69549108528 scopus 로고    scopus 로고
    • Spatial change optimization: Integrating GA with visualization for 3D scenario generation
    • Chandramouli, M., Huang, B. and Xue, L. 2009. Spatial change optimization: integrating GA with visualization for 3D scenario generation. Photogrammetric Engineering and Remote Sensing, 75(8): 1015-1023.
    • (2009) Photogrammetric Engineering and Remote Sensing , vol.75 , Issue.8 , pp. 1015-1023
    • Chandramouli, M.1    Huang, B.2    Xue, L.3
  • 13
    • 0036530772 scopus 로고    scopus 로고
    • A fast and elitist multiobjective genetic algorithm: NSGA-II
    • Deb, K. 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2): 182-197.
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.2 , pp. 182-197
    • Deb, K.1
  • 14
    • 34247514060 scopus 로고    scopus 로고
    • Knowledge-informaed Pareto Simulated Annealing for Multi-Objective Spatial Allocation
    • Duh, J.-D. and Brown, D.G. 2007. Knowledge-informaed Pareto Simulated Annealing for Multi-Objective Spatial Allocation. Computers, Environment and Urban Systems, 31: 253-281.
    • (2007) Computers, Environment and Urban Systems , vol.31 , pp. 253-281
    • Duh, J.-D.1    Brown, D.G.2
  • 15
    • 0032864535 scopus 로고    scopus 로고
    • Using a genetic algorithm to generate alternative sketch maps for urban planning
    • Feng, C.-M. and Lin, J.-J. 1999. Using a genetic algorithm to generate alternative sketch maps for urban planning. Computers, Environment and Urban Systems, 23: 91-108.
    • (1999) Computers, Environment and Urban Systems , vol.23 , pp. 91-108
    • Feng, C.-M.1    Lin, J.-J.2
  • 27
    • 0032864338 scopus 로고    scopus 로고
    • Implementation of a spatial decision support system for rural land use planning: Integrating geographic information system and environmental models with search and optimisation algorithms
    • Matthews, K.B., Sibbald, A.R. and Craw, S. 1999. Implementation of a spatial decision support system for rural land use planning: integrating geographic information system and environmental models with search and optimisation algorithms. Computers and Electronics in Agriculture, 23: 9-26.
    • (1999) Computers and Electronics in Agriculture , vol.23 , pp. 9-26
    • Matthews, K.B.1    Sibbald, A.R.2    Craw, S.3
  • 30
    • 79960622279 scopus 로고
    • La courbe de la repartition de la richesse
    • In: Edited by: Busino, G. Geneva: Librairie Droz
    • Pareto, V. 1965. "La courbe de la repartition de la richesse". In Oevres Completes de Vilfredo Pareto, Edited by: Busino, G. Vol. 3, 1-15. Geneva: Librairie Droz.
    • (1965) Oevres Completes de Vilfredo Pareto , vol.3 , pp. 1-15
    • Pareto, V.1
  • 35
    • 0000852513 scopus 로고
    • Multiobjective optimization using nondominated sorting in genetic algorithm
    • Srinivas, N. and Deb, K. 1994. Multiobjective optimization using nondominated sorting in genetic algorithm. Journal of Evolutionary Computation?, 2(3): 221-248.
    • (1994) Journal of Evolutionary Computation? , vol.2 , Issue.3 , pp. 221-248
    • Srinivas, N.1    Deb, K.2
  • 38
    • 0036253180 scopus 로고    scopus 로고
    • Using evolutionary algorithms to generate alternatives for multiobjective site-search problems
    • Xiao, N., Bennett, D.A. and Armstrong, M.P. 2002. Using evolutionary algorithms to generate alternatives for multiobjective site-search problems. Environment and Planning A, 34: 639-656.
    • (2002) Environment and Planning A , vol.34 , pp. 639-656
    • Xiao, N.1    Bennett, D.A.2    Armstrong, M.P.3
  • 40
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach
    • Zitzler, E. and Thiele, L. 1999. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Transactions on Evolutionary Computation, 3(4): 257-271.
    • (1999) IEEE Transactions on Evolutionary Computation , vol.3 , Issue.4 , pp. 257-271
    • Zitzler, E.1    Thiele, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.