Geng Na, Sun Xiaoyan, Gong Dunwei, and Zhang Yong
[1] Z.H. Zhang, Y.S. Xiong, and Y. Liu, Real-time path planningof multiple mobile robots in a dynamic certain environment,International Journal of Robotics and Automation, 28(1), 2013,13–20. [2] M. Mohammad, A.S. Mehdi, and T. Mohammad, Path plan-ning of mobile robot using integer GA with considering ter-rain conditions, Proc.2008 IEEE Conf. on System, Man andCybernetics, Singapore, 2008, 208–213. [3] K. Iagnemma and S. Dubowsky, Mobile robots in rough terrain,Estimation, Motion Planning, and Control with Applicationto Planetary Rovers. 1st ed (New York: Springer BerlinHeidelberg Press 2004). [4] B.E. Stenning and T.D. Barfoot, Dynamic identification ofStaubli RX-60 robot using PSO and LS methods, ExpertSystems with Applications, 38, 2011, 4136–4149. [5] K.K. Soundra Pandian, IAENG, and P. Mathur, Traversabilityassessment of terrain for autonomous robot navigation, Proc.2010 Conf. on Engineers and Computer Scientists, HK, 2010,1286–1289. [6] Y.H. Xue, G.H. Tian, and B. Huang, Optimal robot pathplanning based on danger degree map, Proc. IEEE 2009Conf. on Automation and Logistics, Shenyang, China, 2009,1040–1045. [7] G.E. Jan, K.Y. Chang, and I. Parberry, Optimal path planningfor mobile robot navigation, IEEE/ASME Transactions onMechatronics, 13(4), 2008, 451–460. [8] T.P. Fries, Evolutionary terrain-based navigation ofautonomous mobile robots, Design and Control of IntelligentRobotic Systems, 177, 2009, 209–226. [9] J. Kennedy and R. C. Eberhart, Swarm intelligence, 1st ed.(New York, NY: Morgan Kaufmann Press, 2001). [10] J. Karimi and S.H. Pourtakdoust, Optimal maneuver-basedmotion planning over terrain and threats using a dynamichybrid PSO algorithm, Aerospace Science and Technology,26(1), 2013, 60–71. [11] M. Ellips and S. Davoud, Multi-objective robot motion planningusing a particle swarm optimization model, Journal of ZhejiangUniversity-Science, 11(8), 2010, 607–619. [12] Y.Y. Fu, C.J. Wu, K.L. Su, and C.N. Ko, A time-scalingmethod for near-time-optimal control of an omni-directionalrobot along specified paths, Artificial Life and Robotics, 13(1),2008, 350–354. [13] A.Z. Mohamed, S.H. Lee, H.Y. Hsu, and N. Nath, A fasterpath planner using accelerated particle swarm optimization,Artificial Life and Robotics, 17(2), 2012, 233–240. [14] Q.Z. Ma, X.J. Lei, and Q. Zhang, Mobile robot path planningwith complex constraints based on the second-order oscillat-ing particle swarm optimization algorithm, Proc. 2009 Conf.on Computer Science and Information Engineering, 2009,244–248. [15] O. Hachour, Path planning of autonomous mobile robot,International Journal of Systems Applications, Engineering &Development, 4(2), 2008, 178–190. [16] J.S.B. Mitchell, An algorithmic approach to some problems interrain navigation, Artificial Intelligence, 37(3), 1988, 184–189. [17] R.F. Richbourg, Solving global two-dimensional routing prob-lems using Snell’s Law and A search, Proc. 1987 IEEE Conf.on Robotics and Automation, 1987, 1631–1636. [18] N.C. Rowe, A new method for optimal path planning throughnonhomogeneous free space, Graduate Thesis, Nava Postgrad-uate School, Monterey, CA, 1987. [19] J. Sun and D.W. Gong, Solving interval multi-objective op-timization problems using evolutionary algorithms with lowerlimit of possibility degree, Chinese Journal of Electronics,22(2), 2013, 269–272. [20] D.W. Gong, N.N. Qin, and X.Y. Sun, Evolutionary algorithmsfor multi-objective optimization problems with interval param-eters, Proc. Fifth Conf. on Bio-Inspired Computing: Theoriesand Applications, Changsha, China, 2010, 411–420. [21] S. Bandyopadhyay and R. Bhattacharya, Solving multi-objective parallel machine scheduling problem by a modi-fied NSGA-II, Applied Mathematical Modelling, 37, 2013,6718–6729. [22] A. Afshar, N. Shojaei, and M. Sagharjooghifarahani, Mul-tiobjective Calibration of Reservoir Water Quality ModelingUsing Multiobjective Particle Swarm Optimization (MOPSO),Water Resource Manage, 27, 2013, 1931–1947.
Important Links:
Go Back
