Multi-objective location modeling of urban parks and open spaces: Continuous optimization

Computers, Environment and Urban Systems

Volumn 34, Issue 5, 2010, Pages 359-376

  Neema, M N ^a   Ohgai, A ^a  

^a TOYOHASHI UNIVERSITY OF TECHNOLOGY   (Japan)

Author keywords

Genetic algorithm (GA); Location modeling; Multi objective optimization; Parks and open space (POS)

Indexed keywords

COMPOSITE OBJECTIVE FUNCTION; COMPUTATIONAL RESULTS; CONTINUOUS OPTIMIZATION; DECISION MAKERS; FACILITY LOCATIONS; LOCATION MODELING; MULTI OBJECTIVE; MULTI-OBJECTIVE OPTIMIZATION MODELS; MULTIOBJECTIVE MODELS; OBJECTIVE FUNCTIONS; OPEN SPACE; OPTIMUM LOCATION; PARETO FRONT; PARETO OPTIMAL SOLUTIONS; PLANNING AUTHORITIES; QUALITY OF LIFE; REAL DATA SETS; SIGNIFICANT IMPACTS; SUSTAINABLE ENVIRONMENT; URBAN PARKS; WEIGHTING SCHEME;

AIR QUALITY; DECISION MAKING; GENETIC ALGORITHMS; LOCATION; MATHEMATICAL OPERATORS; PARKS;

MULTIOBJECTIVE OPTIMIZATION;

DECISION MAKING; FACILITY LOCATION; GENETIC ALGORITHM; LAND USE PLANNING; MULTIOBJECTIVE PROGRAMMING; NUMERICAL MODEL; OPTIMIZATION; PARK DESIGN; PUBLIC SPACE; QUALITY OF LIFE; URBAN PLANNING;

BANGLADESH; DHAKA [BANGLADESH]; DHAKA [DHAKA (ADS)];

EID: 77955093936     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2010.03.001     Document Type: Article

References (48)

1. Ahmed F. (1999). Study on noise pollution caused by road vehicles in Dhaka city. Master's thesis, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh.
2. Avissar R. Potential effects of vegetation on the urban thermal environment. Atmospheric Environment 1996, 30:437-448.
3. Coello C.A.C. An updated survey of GA-based multiobjective optimization techniques. ACM Computing Surveys 2000, 32:109-143.
4. Coello, C. A. C., & Pulido, G. T. (2001). A micro-genetic algorithm for multiobjective optimization. In Evolutionary multi-criterion optimization. First international conference, EMO 2001. Zurich, Switzerland: Springer.
5. Coello C.A.C., Van Veldhuizen D.A., Lamont G.B. Evolutionary algorithms for solving multi-objective problems 2002, Kluwer Academic, New York.
6. Datta D., Deb K., Fonseca C.M., Lobo F., Condado P., Seixas Multi-objective evolutionary algorithm for land-use management problem. International Journal of Computational Intelligence Research 2008.
7. Deb K. Multi-objective optimization using evolutionary algorithms 2001, John Wiley, New York.
8. Fonseca, C. M., & Fleming, P. J. (1993). Multiobjective genetic algorithms. In IEE colloquium on 'genetic algorithms for control systems engineering' (Digest No. 1993/130). London, UK: IEE.
9. Fonseca C.M., Fleming P.J. An overview of evolutionary algorithms in multiobjective optimization. Evolutionary Computation 1995, 3:1-16.
10. Gaber, S. M., El-Sharkawi, M. E., & Nour El-deen, M. (2008). Traditional genetic algorithm and random weighted genetic algorithm with GIS to plan radio network. http://www.urisa.org/files/Gaber_Cairo.pdf.
11. Givoni B. Impact of planted areas on urban environmental quality: A review. Atmospheric Environment 1991, 250:289-299.
12. Goldberg D.E. Genetic algorithms in search, optimization and machine learning 1989, Addison-Wesley Publishing Co., Inc., Redwood City, CA.
13. Hajela P., Lin C. Genetic search strategies in multicriterion optimal design. Structural and Multidisciplinary Optimization 1992, 4:99-107.
14. Holland J.H. Adaptation in natural and artificial systems 1975, University of Michigan Press, Ann Arbor, MI, USA.
15. Holland J.H. Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control and artificial intelligence 1992, MIT Press, Cambridge, MA. 2nd ed.
16. Honjo T., Takakura T. Analysis of temperature distribution of urban green spaces using remote sensing data. Journal of the Japanese Institute of Landscape Architecture 1986, 49:299-304.
17. Huang G., Chen Y. Ecocity: Theory and design approach 2002, Science Press, Bejing, [in Chinese].
18. Ishibuchi, H. (1996). Multi-objective genetic local search algorithm. In T. Fukuda, & T. Furuhashi (Eds.), Proceedings of the 1996 IEEE international conference on evolutionary computation (pp. 119-124), Nagoya, Japan.
19. Jacobs J. The uses of neighbourhood parks 1969, New York University Press, New York.
20. Jaigirdar, M. A. (1998). Environmental impacts of improved bus service in Dhaka city. Master's thesis, Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh.
21. Jaszkiewicz A. Genetic local search for multi-objective combinatorial optimization. European Journal of Operational Research 2002, 137:50-71.
22. Jin, Y. (2002). Effectiveness of weighted sum of the objectives for evolutionary multi-objective optimization: Methods, analysis and applications. Unpublished manuscript.
23. Jin, Y., Olhofer, M., & Sendhoff, B. (2001). Dynamic weighted aggregation for evolutionary multiobjective optimization: Why does it work and how? In Genetic and evolutionary computation conference, San Francisco.
24. Krzanowski R., Raper J. Spatial evolutionary modeling 2001, Oxford University Press, New York.
25. Lam K.C., Ng S.L., Hui W.C., Chan P.K. Environmental quality of urban parks and open spaces in Hong Kong. Environmental Monitoring and Assessment 2005, 111:55-73.
26. Lu H.M., Yen G.G. Rank-density-based multiobjective genetic algorithm and benchmark test function study. IEEE Transactions on Evolutionary Computation 2003, 7:325-343.
27. Michalewicz Z. Genetic algorithms+data structures=evolution programs 1994, Springer-Verlag, New York, NY. 2nd extended ed.
28. Mitchell M. An introduction to genetic algorithms. Complex adaptive series 1996, MIT Press, Cambridge, MA.
29. Murata, T., & Ishibuchi, H. (1995). MOGA: Multi-objective genetic algorithms. In Proceedings of the 1995 IEEE international conference on evolutionary computation. Perth, WA, Australia: IEEE.
30. Murata T., Ishibuchi H., Tanaka H. Multi-objective genetic algorithm and its applications to flowshop scheduling. Computers & Industrial Engineering 1996, 30:957-968.
31. Neema, M. N., Ohgai, A., & Emanuel, L. L. (2008). Analyzing existing condition and location of open spaces in Dhaka city. In Proceedings of the 6th international symposium on city planning and urban management in Asian countries, Jinju, Korea.
32. Neema M.N., Maniruzzaman K.M., Ohgai A. New genetic algorithms based approaches to continuous p-median problem. Networks and Spatial Economics 2008, [published online]. 10.1007/s11067-008-9084-5.
33. Osyczka A. Multicriteria optimization for engineering design. Design optimization 1985, Academic Press, Inc., New York, NY. J.S. Gero (Ed.).
34. Rakas J., Teodorovic D., Kim T. Multi-objective modelling for determining location of undesirable facilities. Transportation Research Part D 2004, 9:125-138.
35. Sarker R., Liang K., Newton C. A new multiobjective evolutionary algorithm. European Journal of Operational Research 2002, 140:12-23.
36. Schaffer, J. D. (1995). Multiple objective optimization with vector evaluated genetic algorithms. In Proceedings of the international conference on genetic algorithm and their applications.
37. Shi S. Research on the urban spatial structure guided by the urban green space system. Physical geography 2002, 112. Central China Normal University, Wuhan.
38. Srinivas NB., Deb K. Multiobjective optimization using nondominated sorting in genetic algorithms. Evolutionary Computation 1994, 2:221-248.
39. Stewarta T.J., Janssenb R., van Herwijnenb M. A genetic algorithm approach to multiobjective landuse planning. Computers & Operations Research 2004, 31:2293-2313.
40. Van Veldhuizen D.A., Lamont G.B. Multiobjective evolutionary algorithms: Analyzing the state-of-the-art. Evolutionary Computation 2000, 2:221-248.
41. Xiao N., Bennett D.A., Armstrong M.P. Using evolutionary algorithms to generate alternatives for multiobjective site-search problems. Environment and Planning A 2002, 34:639-656.
42. Xiao N., Bennett D.A., Armstrong M.P. Interactive evolutionary approaches to multi-objective spatial decision making: Asynthetic review. Computers, Environment and Urban Systems 2007, 31:232-252.
43. Yang, M. (2003). Suitability analysis of urban green space system based on GIS. Master's thesis, International Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands.
44. Yang L., Jones B.F., Yang S.H. A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms. European Journal of Operational Research 2007, 181:903-915.
45. Yeh A.G.O., Chow M.H. An integrated GIS and location-allocation approach to public facilities planning - An example of open space planning. Computers, Environment and Urban Systems 1996, 20:339-350.
46. Yen G., Lu H. Dynamic multiobjective evolutionary algorithm: Adaptive cell-based rank and density estimation. IEEE Transactions on Evolutionary Computation 2003, 7:253-274.
47. Zhang X., Armstrong M.P. Genetic algorithms and the corridor location problem: Multiple objectives and alternative solutions. Environment and Planning B: Planning and Design 2008, 35:148-168.
48. Zitzler E., Deb K., Thiele L. Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary Computation 2000, 8:173-195.