1- نوفرستی، سمانه؛ تدین تبریزی، قمرناز؛ کاربرد اتوماتای سلولی در شبیهسازی انتشار آتش، اولین کنفرانس ملی مهندسی نرمافزار، ص 327-319 .
2-Muzya, A., Nutaro, J.J., Zeigler, B.P., Coquillard, P. 2008, Modeling and simulation of fire spreading through the activity tracking paradigm.
3- Anderson, H. 1982, Aids to Determining Fuel Models for Estimating Fire Behavior, General Technical Report INT-122
4- Berjak, S., Hearne, J. 2002, An improved cellular automaton model for simulating fire in a spatially heterogeneous Savana system, Ecological Modelling, 148, 133-151.
5- Brun, C., Art´es, T., Margalef, T., Cort´es, A. 2012, Coupling wind dynamics into a DDDAS forest fire propagation prediction system. Procedia Computer Science, 9, 1110-1118.
6- Brun, C., Margalef, T., Cort' es, A. 2013, Coupling Diagnostic and Prognostic Models to a Dynamic Data Driven Forest Fire Spread Prediction System, Procedia Computer Science 18, 1851-1860.
7- Cencerrado, A., Rodriguez, R., Cortes, A., Margalef, T. 2012, Urgency versus accuracy: Dynamic Data Driven application system for natural hazard management, Numerical analysis and modeling, 9,2,432-448.
8- Li, C., Hans, H., Barclay, H., Liu, J., Carlson, G., Campbell, D. 2012, Comparison of spatially explicit forest landscape fire disturbance models
9- Cheney N.P. 1981, Fire behaviour, A.M. Gill,G.H. Groves and I.R. Noble, Editors, Fire and the Australian Biota, Australian Academy of Science, Canberra, 157-175.
10- Feng, Y., Liu, Y., Tong, X., Liu, M., Deng, S. 2011, Modeling dynamic urban growth using cellular automata and particle swarm optimization rules, Landscape and Urban Planning, 102, 188-194.
11- Glasa, J., Halada, L. 2008, On elliptical model for forest fire spread modeling and simulation, Mathematics and Computers in Simulation, 78, 76-88.
12- Karaboga, D.2005, An Idea Based on Honey Bee Swarm for Numerical Optimization,Erciyes
13- Karaboga, D., Akay, B. 2009, A comparative study of Artificial Bee Colony algorithm, Applied mathematics and computation, 214, 108-132.
14- Karaboga, D.,Basturk, B. 2007, A Powerful and Efficient Algorithm for Numerical Function Optimization: Artificial Bee Colony (ABC) Algorithm, Springer, J Glob Optim, 39, 459-471.
15- Karaboga, D., Basturk, B. 2008, On the performance of artificial bee colony (ABC) algorithm, Applied soft computing, 8, 687-697.
16- Karaboga, D., Ozturk, C. 2011, A novel clustering approach: Artificial Bee Colony (ABC) algorithm, Applied Soft Computing, 11, 652-657.
17- Kennedy, J., Eberhart, R. 1995, Particle Swarm Optimization, IEEE Journal.
18- Alexander, M., Cruz, M., 2013, Are the applications of wildland fire behaviour models getting ahead of their evaluation again?
19- Sow, M., Hély, C.,Mbow, C., Sambou, B. 2013, Fuel and fire behavior analysis for early-season prescribed fire planning in Sudanian and Sahelian savannas
20- Parsopoulos, K.E. 2010, Particle Swarm Optimization and Intelligence, Advances and Applications, IGI Global.
21- Poli, R., Kennedy, J., Blackwell, T.2007, Particle swarm optimization, Springer Science,Swarm Intell, 1, 33-57.
22- Porterie, B., Zekri, N., Clerc, J., Loraud, J. 2007, Modeling forest fire spread and spotting process with small world networks, Combustion and Flame, 149, 63-78.
23- Quartieri, J., E.Mastorakia, N., Iannone, G., Guarnaccia., C. A Cellular Automata Model for Fire Spreading Prediction. Latest Trends on Urban Planning and Transportation, 173-179.
24- Xi, W., Coulson, R.,Birt, A., Shang, Z.,Waldron, J.,Lafon, C., Cairns, D.,Tchakerian, M., Klepzig, K. 2009, Review of forest landscape models: Types, methods, development and applications
25- Wong, L. P. 2008, A Bee Colony Optimization Algorithm for Traveling Salesman Problem, in Second Asia International Conference on Modelling & Simulation (AMS), Washington, Computer Society, 818-823.
26- Yongzhong Z., Feng Z.D., Tao H., Liyu W., Kegong L., Xin D. 2004, Simulating wildfire spreading processes in spatially heterogeneous landscapes using an improved cellular automaton model, IGARSS, 40. Proceedings of the 2004 IEEE International, 3374-3374.