1. [1] A. Carrara, F. Guzzetti, M. Cardinali, and P. Reichenbach, "Use of GIS technology in the prediction and monitoring of landslide hazard" Natural hazards, vol. 20, pp. 117-135, 1999. [ DOI:10.1023/A:1008097111310] 2. [2] E. Peeters, E. Teller, W.G Patrick, S. Brin, "Providing a medical support device via an unmanned aerial vehicle" U.S. Patent: US: 8 948 935, issued date Feb 3, 2015 3. [3] E. Ayati & E. Abbasi, "Investigation on the role of traffic volume in accidents on urban highways." Journal of safety research, vol. 42(3), pp. 209-214, 2011. [ DOI:10.1016/j.jsr.2011.03.006] 4. [4] H. Helble & S. Cameron, "OATS: Oxford aerial tracking system." Robotics and Autonomous Systems, vol. 55(9), pp. 661-666, 2007. [ DOI:10.1016/j.robot.2007.05.010] 5. [5] W. Duan, G. Chen, Q. Ye, & Q. Chen, "The situation of hazardous chemical accidents in China between 2000 and 2006." Journal of hazardous materials, vol. 186(2), pp.1489-1494, 2011. [ DOI:10.1016/j.jhazmat.2010.12.029] 6. [6] E. Besada-Portas, L. De La Torre, A. Moreno, and J. L. Risco-Martín, "On the performance comparison of multi-objective evolutionary UAV path planners," Information Sciences, vol. 238, pp. 111-125, 2013. [ DOI:10.1016/j.ins.2013.02.022] 7. [7] C. Zheng, L. Li, F. Xu, F. Sun, and M. Ding, "Evolutionary route planner for unmanned air vehicles," Robotics, IEEE Transactions on, vol. 21, pp. 609-620, 2005. [ DOI:10.1109/TRO.2005.844684] 8. [8] X. Zhang and H. Duan, "An improved constrained differential evolution algorithm for unmanned aerial vehicle global route planning," Applied Soft Computing, vol. 26, pp. 270-284, 2015. [ DOI:10.1016/j.asoc.2014.09.046] 9. [9] E. Besada-Portas, L. de la Torre, J. M. de la Cruz, and B. de Andrés-Toro, "Evolutionary trajectory planner for multiple UAVs in realistic scenarios," Robotics, IEEE Transactions on, vol. 26, pp. 619-634, 2010. [ DOI:10.1109/TRO.2010.2048610] 10. [10] J. M. de la Cruz, E. Besada-Portas, L. Torre-Cubillo, B. Andres-Toro, and J. A. Lopez-Orozco, "Evolutionary path planner for UAVs in realistic environments," in Proceedings of the 10th annual conference on Genetic and evolutionary computation, 2008, pp. 1477-1484. [ DOI:10.1145/1389095.1389383] 11. [11] H. Duan, Y. Yu, X. Zhang, and S. Shao, "Three-dimension path planning for UCAV using hybrid meta-heuristic ACO-DE algorithm," Simulation Modelling Practice and Theory, vol. 18, pp. 1104-1115, 2010. [ DOI:10.1016/j.simpat.2009.10.006] 12. [12] Y. Fu, M. Ding, and C. Zhou, "Phase angle-encoded and quantum-behaved particle swarm optimization applied to three-dimensional route planning for UAV," Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, vol. 42, pp. 511-526, 2012. [ DOI:10.1109/TSMCA.2011.2159586] 13. [13] V. Roberge, M. Tarbouchi, and G. Labonté, "Comparison of parallel genetic algorithm and particle swarm optimization for real-time UAV path planning," Industrial Informatics, IEEE Transactions on, vol. 9, pp. 132-141, 2013. [ DOI:10.1109/TII.2012.2198665] 14. [14] Y. Fu, M. Ding, C. Zhou, and H. Hu, "Route planning for unmanned aerial vehicle (UAV) on the sea using hybrid differential evolution and quantum-behaved particle swarm optimization," Systems, Man, and Cybernetics: Systems, IEEE Transactions on, vol. 43, pp. 1451-1465, 2013. 15. [15] D. Alejo, J. Cobano, G. Heredia, and A. Ollero, "Collision-free trajectory planning based on Maneuver Selection-Particle Swarm Optimization," in Unmanned Aircraft Systems (ICUAS), 2015 International Conference on, 2015, pp. 72-81. [ DOI:10.1109/ICUAS.2015.7152277] 16. [16] G. Farin, Curves and surfaces for computer-aided geometric design: a practical guide: Elsevier, 2014. 17. [17] E. Atashpaz-Gargari and C. Lucas, "Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition," in Evolutionary computation, 2007. CEC 2007. IEEE Congress on, 2007, pp. 4661-4667. [ DOI:10.1109/CEC.2007.4425083] 18. [18] T. Niknam, E. T. Fard, N. Pourjafarian, and A. Rousta, "An efficient hybrid algorithm based on modified imperialist competitive algorithm and K-means for data clustering," Engineering Applications of Artificial Intelligence, vol. 24, pp. 306-317, 2011. [ DOI:10.1016/j.engappai.2010.10.001] 19. [19] S. Talatahari, BF. Azar, R. Sheikholeslami, and AH. Gandomi, "Imperialist competitive algorithm combined with chaos for global optimization," Communications in Nonlinear Science and Numerical Simulation, vol. 17, pp. 1312-1319, 2012. [ DOI:10.1016/j.cnsns.2011.08.021] 20. [20] A Kaveh, S Talatahari, "Optimum design of skeletal structures using imperialist competitive algorithm," Computer Structures, vol. 88, pp.1220–1229, 2010. [ DOI:10.1016/j.compstruc.2010.06.011] 21. [21] A. Mohemmed, N. Sahoo and T. Geok, "Solving shortest path problem using particle swarm optimization," Applied Soft Computing, vol. 8, no. 4, pp. 1643-1653, 2008. [ DOI:10.1016/j.asoc.2008.01.002] 22. [22] AA Heidari, RA Abaspour, AA Jordehi, "An efficient chaotic water cycle algorithm for optimization tasks," Neural Computing and Applications, doi: 10.1007/s00521-015-2037-2. [ DOI:10.1007/s00521-015-2037-2] |
