Subject Areas :

پویان  شهابیان ¹ (دانشیار گروه شهرسازی،واحد تهران مرکزی، دانشگاه آزاداسلامی، تهران، ایران)
شقایق  پارسا ² (دانشجوی دکتری شهرسازی دانشگاه علامه طباطبایی، تهران، ایران)

Received: 2019-10-06 Accepted : 2022-11-17 Published : 2022-11-22

Keywords:

References:

Aghamohammadi,H.,Mesgari,S.,& Molayi,M.(2012). The development of an innovative method for
optimizing the location and allocation of relief operations to earthquake victims. The Journal of Space
Planning ,Volume 16,57-76 . (In Persian)
Ahadnezhad,M.,Ghaderi,H.,Hadian,M.(2014). Location Allocation of Health Care Centers Using
Geographical Information System: region 11 of Tehran. The Journal of Fasa University of Medical
Sciences,463-474 . (In Persian)
Arifin, S.(2011) .Location Allocation Problem Using Genetic Algorithm and Simulated Annealing: A Case
Study Based on School in Enschede .Master of Science in Geo-information Science and Earth
Observation, University of Twente.
Atayi,B.(2013). A comparative study between the combined model of genetic algorithm-ANN (ANN-GA)
and the modified quadruple function model (sqdf) for identifying stock price manipulation. In
companies admitted to Tehran Stock Exchange.Master's Thesis, Research and Technology - University
of Mazandaran - Faculty of Administrative Sciences and Economics . (In Persian)
Bhat, A., Anupama, Akshatha, Rao, M., & G Pai , D. (2021). Tra􀆥c violation detection in India using
genetic algorithm. Global Transitions Proceedings, 309–314.
Bolouri,S.,Vafayinezhad.A.(2015). Using Genetic Algorithm to Optimize Location-Multi-Allocation
Problem in GIS Environment (Case Study: District 11 Fire Station in Tehran). Regional Studies and
Research of the Seventh, No. 25,183-202
Conceiçao Antonio, C., Brasileiro Monteiro, J., & Felix Afonso, C. (2014). Optimal topology of urban
buildings for maximization of annual solar irradiation availability using a genetic algorithm. Applied
Thermal Engineering, 422435.
Emcoiran,M.(2008). Provide a detailed development plan and a detailed plan for the region 17 of Tehran.
Tehran Urban Research and Planning Center . (In Persian)
Ghzanfari,H.,Hamedi,M.& Hasanzadeh,S.(2014). An Optimal Model of Post-Disaster Emergency
Evacuation in Urban Areas, Using Genetic Algorithm (Case Study District 3 of Kerman).Journal of
Urban Social Geography, Volume1,87-104 . (In Persian)
Li, X., & Lael , P. (2016). An improved Genetic Algorithm for spatial optimization of multi-objective and
multi-site land use allocation. Computers, Environment and Urban Systems, 184–194.
Maesomi,Z.,Mesgari,M.(2015). Spatial Modeling of Urban Change Using NSGA-II Algorithm and
Clustering of Probability Responses in Urban Fluid Plans. Journal of Geomatics Science And
Technology, Volume5,139-157 . (In Persian)
Mikaniki,J.,Sadeghi,H.(2012). Locating health centers (hospitals) in Birjand by integrating the ANP
process and comparing couples in the GIS environment. Environmental Planning, Volume 5 , Issue
19,121-142 . (In Persian)
Mohammadi Sarin Dizaj, M., & Mohammadi, A. (2021). Application of Optimal Multi-Objective Genetic
Algorithms in Locating Temporary Housing after an Earthquake (Case Study: District 5 of Tabriz).
Bulletin of earthquake science and engineering,Volume 8, 83-97 . (In Persian)
Mustafa, A., Bruwier, M., Archambeau, P., Erpicum, S., Pirotton, M., & Dewals, B. (2018). E􀆡ects of
spatial planning on future flood risks in urban environments. Journal of Environmental Management,
193-204.
Porta, J., و Parapar, J. (2013). High performance genetic algorithm for land use planning. Computers,
Environment and Urban Systems, 45-58.
Raichaudhuri, A., & Jain, A. (2010). Genetic Algorithm based Logistics Route Planning. International
Journal of Innovation, Management and Technology, Vol. 1, No. 2,, 205-208.
Rashidi,S.,Talei,M.,&Naeemi,A.(2013). Evaluation and application of genetic algorithm in locating
shopping centers with competitive conditions. Armanshahr journal,305.320 . (In Persian)

Razavian,M.(2002).Urban landuse planning.Tehran:Monshi . (In Persian)
Shokouhi,A.(2004). Locating urban parks in Zanjan using GIS spatial information system and fuzzy logic.Master's Thesis, University of Tehran, College of Fine Arts . (In Persian)
Sadidi J. Introducing a Developed Meta-heuristic Model based on Multi Objectives Genetics Algorithm for Optimal Land Use Change Modeling. MJSP. 2017; 21 (3) :307-327
Saraei , M., Rezaei, M., & Adeli, M. (2019). Spatial Evaluation of Access to Urban Free Spaces during the Post-Earthquake Periods Using Hub and Genetics Optimization Algorithms (Case Study: City of
Gorgan). Geographical Urban Planning Research (GUPR),Volume 7, 311-331 . (In Persian)
Stewarta, T., و Janssen, R. (2004). A genetic algorithm approach to multiobjective landuse planning.
Computers و Operations Research, 2293–2313.
Tehran Urban Observatory.(2016). Monitoring the situation of urban planning in Tehran . (In Persian)
Vahidi borji,G.,Norian,F.Azizi,M.(2017). The Obstacles against the Success of Suggested Functions in
Urban Development Projects in Iran. Honar-Ha-Ye-Ziba: Memary Va Shahrsazi, 22(1), 5-14 . (In
Persian)
Zhou , G., Zhu , Z., & Luo, S. (2022). Location optimization of electric vehicle charging stations: Based
on cost model and genetic algorithm. Energy, 3-11.