References
- V. Roberge, M. Tarbouchi, and G. Labonte, "Comparison of parallel genetic algorithm and particle swarm optimization for real-time UAV path planning," Industrial Informatics, IEEE Transactions on, vol. 9, no. 1, pp. 132-141, 2013. https://doi.org/10.1109/TII.2012.2198665
- N. Ganganath, C. Cheng, and C. Tse,"A constraint-aware heuristic path planner for finding energy-efficient paths on uneven terrains," Industrial Informatics, IEEE Transactions on, vol. 9, no. 1, pp. 132-141, 2013. https://doi.org/10.1109/TII.2012.2198665
- L. D. Xu, C. Wang, Z. Bi, and J. Yu,"AutoAssem: An automated assembly planning system for complex products," Industrial Informatics, IEEE Transactions on, vol. 8, no. 3, pp. 669-678, 2012. https://doi.org/10.1109/TII.2012.2188901
- N. Sudha, and A.R. Mohan,"Hardware-efficient image-based robotic path planning in a dynamic environment and its FPGA implementation," Industrial Electronics, IEEE Transactions on, vol. 58, no. 5, pp. 1907-1920, 2011.
- L. M. Capisani, and A. Ferrara,"Trajectory planning and second-order sliding mode motion/interaction control for robot manipulators in unknown environments," Industrial Electronics, IEEE Transactions on, vol. 59, no. 8, pp. 3189-3198, 2012. https://doi.org/10.1109/TIE.2011.2160510
- C.-C. Tsai, H.-C. Huang, and C.-K. Chan, "Parallel elite genetic algorithm and its application to global path planning for autonomous robot navigation," Industrial Electronics, IEEE Transactions on, vol. 58, no. 10, pp. 4813-4821, 2011. https://doi.org/10.1109/TIE.2011.2109332
- T. Sato, S. Sakaino, E. Ohashi, and K. Ohnishi,"Walking trajectory planning on stairs using virtual slope for biped robots," Industrial Electronics, IEEE Transactions on, vol. 58, no. 10, pp. 1385-1396, 2011. https://doi.org/10.1109/TIE.2010.2050753
- K. Yang, S. K. Gan, and S. Sukkarieh,"A Gaussian process-based RRT planner for the exploration of an unknown and cluttered environment with a UAV," Advanced Robotics, vol. 27, no. 6, pp. 431-443, 2013. https://doi.org/10.1080/01691864.2013.756386
- C.-B. Moon and W. Chung,"Kinodynamic planner dual-tree RRT (DT-RRT) for two-wheeled mobile robots using the rapidly exploring random tree," Industrial Electronics, IEEE Transactions on, vol. 62, no. 2, pp. 1080-1090, 2015. https://doi.org/10.1109/TIE.2014.2345351
- Y.-J. Kim, S.-Y. Park, J.-J. Kim, J.-H. Wang, J.-Y. Lee, and J.-J. Lee, "A RRT-based collision-free and occlusion-free path planning method for a 7DOF manipulator," in Mechatronics and Automation (ICMA), 2014 IEEE International Conference on, 2014, pp. 1017-1021.
- S. M. LaValle,"Rapidly-exploring random trees: A new tool for path planning," Comput. Sci. Dept., Iowa State Univ., Ames, IA, TR 98-11, Tech. Rep., 1998.
- S. M. LaValle and J. J. Kuffner Jr.,"Rapidly-exploring random trees: Progress and prospects," in Algorithmic and Computational Robotics: New Directions, 2000, pp. 293-308.
- L. Knispel and R. Matousek,"A performance comparison of rapidly-exploring random tree and dijkstras algorithm for holonomic robot path planning," in Recent Advances in Applied & Theoretical Mathematics, D. Anderson, Ed. WSEAS - World Scientific and Engineering Academy and Society, 2013, pp. 154-162.
- K. Yang and S. Sukkarieh,"An analytical continuous-curvature path-smoothing algorithm," Robotics, IEEE Transactions on, vol. 26, no. 3, pp. 561-568, 2010. https://doi.org/10.1109/TRO.2010.2042990
- J. Villagra, V. Milanes, J. Perez, and J. Godoy,"Smooth path and speed planning for an automated public transport vehicle," Robotics and Autonomous Systems, vol. 60, no. 2, pp. 252-265, 2012. https://doi.org/10.1016/j.robot.2011.11.001
- J. Pan, L. Zhang, and D. Manocha,"Collision-free and smooth trajectory computation in cluttered environments," The International Journal of Robotics Research, 2012.
- C. M. Bishop, Pattern recognition and machine learning. Springer New York, 2006.
- R. A. Davis,"Gaussian process," in Encyclopedia of Environmetrics, Wiley, New York, 2006.
- C. K. I. Williams and C. E. Rasmussen, Gaussian processes for machine learning. The MIT Press, 2005.
- S. Das and P. Suganthan,"Differential evolution: A survey of the state-of-the-art," IEEE Trans. Evol. Comput., vol. 15, no. 1, pp. 4-31, 2011. https://doi.org/10.1109/TEVC.2010.2059031
- K. V. Price, R. M. Storn, and J. A. Lampinen, Differential evolution: A practical approach to global optimization. Springer-Verlag Berlin Heidelberg, 2005.
- S. M. Elsayed, R. A. Sarker, and D. L. Essam,"An improved self-adaptive differential evolution algorithm for optimization problems," Industrial Informatics, IEEE Transactions on, vol. 9, no. 1, pp. 89-99, 2013. https://doi.org/10.1109/TII.2012.2198658
- J.-T. Tsai, K.-M. Lee, and J.-H. Chou,"Robust evolutionary optimal tolerance design for machining variables of surface grinding process," Industrial Informatics, IEEE Transactions on, vol. 10, no. 1, pp. 301-312, 2014. https://doi.org/10.1109/TII.2013.2240311
- R. B. Godoy, J. O. P. Pinto, C. A. Canesin, E. A. Alves Coelho, and A. M. A. C. Pinto,"Differential-evolution-based optimization of the dynamic response for parallel operation of inverters with no controller interconnection," Industrial Electronics, IEEE Transactions on, vol. 59, no. 7, pp. 2859-2866, 2012. https://doi.org/10.1109/TIE.2011.2170390
- T. Marcic, B. Stumberger, and G. Stumberger,"Differential-evolutionbased parameter identification of a line-start IPM synchronous motor," Industrial Electronics, IEEE Transactions on, vol. 61, no. 11, pp. 5921-5929, 2014. https://doi.org/10.1109/TIE.2014.2308160
- C.-F. Juang, Y.-H. Chen, and Y.-H. Jhan,"Wall-following control of a hexapod robot using a data-driven fuzzy controller learned through differential evolution," Industrial Electronics, IEEE Transactions on, vol. 62, no. 1, pp. 611-619, 2015. https://doi.org/10.1109/TIE.2014.2319213
- S.-Y. Park and J.-J. Lee,"Stochastic opposition-based learning using a beta distribution in differential evolution," Cybernetics, IEEE Transactions on, Article in press.
- H. R. Tizhoosh,"Opposition-based learning: A new scheme for machine intelligence," in Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on, 2005, pp. 695-701.
- P. I. Corke, Robotics, vision & control: Fundamental algorithms in matlab. Springer, 2011.
- C. E. Rasmussen and H. Nickisch,"Gaussian processes for machine learning (GPML) toolbox," Journal of Machine Learning Research, vol. 11, pp. 3011-3015, 2010.
- J. Alcala-Fdez, L. Sanchez, S. Garcia, M. J. del Jesus, S. Ventura, J. M. Garrell, J. Otero, C. Romero, J. Bacardit, V. M. Rivas, J. C. Fernandez, and F. Herrera, "KEEL: A software tool to assess evolutionary algorithms for data mining problems," Soft Computing, vol. 13, no. 3, pp. 307-318, 2009. https://doi.org/10.1007/s00500-008-0323-y