1. [1] Hausen, M. A. "Dynamic Urban Design: A Handbook for Creating Sustainable Communities Worldwide" iUniverse, USA, 2012.

2. [2] Shiffa, M., Jianhua, H., Feng, L., & Yan, Y. (2011). "Land-use spatial optimization based on PSO algorithm", Geo-spatial Information Science 14, 54:61.

3. [3] Liu, X., Ou, J., Li, X., & Ai, B. "Combining system dynamics and hybrid particle swarm optimization for land use allocation". Ecological Modelling, 257, 11-24, 2013. [DOI:10.1016/j.ecolmodel.2013.02.027]

4. [4] YaoLin, L., & JinJin, P. "A Fast Particle Swarm Optimization Algorithm for Land Use Allocation" Paper presented at the 12th International Conference on GeoComputation, Wuhan, China, 2013.

5. [5] Liu Y, Peng J, Jiao L, Liu Y, "PSOLA: A Heuristic Land-Use Allocation Model Using Patch- Level Operations and Knowledge-Informed Rules", PLoS ONE 11(6), 21-42, 2016. [DOI:10.1371/journal.pone.0157728]

6. [6] Cao, K., Batty, M., Huang, B., Liu, Y., Yu, L. & Cheng, J., "Spatial multi-objective land use optimization: extensions to the non-dominated sorting genetic algorithm-II", International Journal of Geographical Information Science, 1, 1-21, 2011. [DOI:10.1080/13658816.2011.570269]

7. [7] Zhang, Q., & Li, H., "MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition". IEEE Transactions on Evolutionary Computation, 11(6), 712-731, 2007. [DOI:10.1109/TEVC.2007.892759]

8. [8] Haque, A. and Asami, Y., Optimizing urban land use allocation for planners and real estate, developers, Computers, Environment and Urban Systems, Vol. 46, 57–69, 2014. [DOI:10.1016/j.compenvurbsys.2014.04.004]

9. [9] Masoumi, Z., Mesgari, M.S., Hamrah, M., "Allocation of urban land uses by Multi-Objective Particle Swarm Optimization algorithm" International Journal of Geographical Information Science, Vol. 27(3), 1-25, 2013. [DOI:10.1080/13658816.2012.698016]

10. [10] Delaviz, Y., Shaygan, M., Karami, J., "Using NSGA-II in multi-objective urban land use optimization to decrease earthquake risk, Journal of Geomatic sciences and technology", Vol.5, Issue, 3. 247-264, 2014.

11. [11] Mashhoudi, S., "Fundamentals of urban dynamic plans", Urban Processing and Planning Co, Tehran, Iran, 2006.

12. [12] Pasione, M., "Urban Geography: A Global Perspective (3 rd ed.)". New York: Routledge, 2009.

13. [13] Seifadini, F., "Fundamental of urban planning, Aeezh publication", Tehran, Iran, 2008.

14. [14] Coello Coello, C. A., Lamount, G. B. and Veldhuizen, D. A. "Evolutionary algorithms for solving multi-objective problems". 2nd ed. New York: Springer, 2007.

15. [15] Branke, J., Deb, K., Miettinen, K., & Slowiniski, R. "Multiobjective optimization: Interactive and Evolutionary Approache" Springer, 2008. [DOI:10.1007/978-3-540-88908-3]

16. [16] Munier, N. "A Strategy for Using Multicriteria Analysis in Decision-Making: A Guide for Simple and Complex Environmental Projects (1st Edition ed.)". Valencia, Spain: Springer, 2011. [DOI:10.1007/978-94-007-1512-7]

17. [17] Deb, K. "Multi-Objective Optimization Using Evolutionary Algorithm" New York, John Wiley and Sons, 2001.

18. [18] Talbi, E. "Metaheuristics: from desgin to implementation", New Jersey, John Wiley and Sons, 2009. [DOI:10.1002/9780470496916]

19. [19] Engelbrecht, A. P."Computational Intelligence: An Introduction" England, John Wiley & Sons, 2007. [DOI:10.1002/9780470512517]

20. [20] Goldberg, D. E. & Richardson, J. Year. "Genetic algorithms with sharing for multimodal function optimization". In: GREFENSTETTE, J. J., ed. 2nd international Conference on Gas: Genetic Algorithms and Their Applications, 1987 Cambridge. Massachusetts Institute of Technology, 41-49.

21. [21] Peng, W., Zhang, Q., & Li, H. Comparison between MOEA/D and NSGA-II on the Multi-Objective Travelling Saleman Problem. In C. K. Goh, Y. S. Ong & K. C. Tan (Eds.), Multi-Objective Memetic Algorithms (Vol. Studies in Computational Intelligence, pp. 309-324). Berlin: Springer, 2009.

22. [22] Ishibuchi, H., Sakane, Y., Tsukamoto, N., & Nojima, Y. "Simultaneous use of different scalarizing functions in MOEA/D". Paper presented at the Proceedings of the 12th annual conference on Genetic and evolutionary computation, 2010. [DOI:10.1145/1830483.1830577]

23. [23] Zhang, H., Zeng, Y., Jin, X., Shu, B., Zhou, Y., Yang, X., " Simulating multi-objective land use optimization allocation usingMulti-agent system—A case study in Changsha", China, Ecological Modelling, Vol. 320, 334–347, 2016 [DOI:10.1016/j.ecolmodel.2015.10.017]

24. [24] Poormohammadi, M., "Urban land use planning", Tehran university press, Tehran, Iran, 2008.

25. [25] Telei, M., Sharifi, A., Sliuzas, R. & Mesgari, M. "Evaluating the compatibility of multi-functional and intensive urban land uses." International Journal of Applied Earth Observation and Geoinformation, 9, 375-391, 2006. [DOI:10.1016/j.jag.2006.12.002]

26. [26] Koomen, E., Rietveld, P. and Nijs, T. "Modelling land-use change for spatial planning support." Annals in Regional Science, 42, 1-10, 2008. [DOI:10.1007/s00168-007-0155-1]

27. [27] Lagore, J., "Site Analysis, A Contextual Approach to Sustainable Land Planning and Site Design" Second ed. New Jersey: John Wiley & Sons, 2008.

28. [28] Haupt, R. L. and Haupt, S. E." Practical Genetic Algorithms". 2nd ed. New Jersey: John Wiley & Sons, 2004.

29. [29] Bajestani, M. A., et al. "A multi-objective scatter search for a dynamic cell formation problem.", Operations Research, 36, 777-794, 2009. [DOI:10.1016/j.cor.2007.10.026]

30. [30] Zitzler, E., Deb, K. and Thiele, L. " Comparison of Multiobjective Evolutionary Algorithms: Empirical Results". Evolutionary Computation, 8(2), 173-195, 2002. [DOI:10.1162/106365600568202]