[1] P. Raja and S. Pugazhenthi, Optimal path planning of mobile robots, International Journal of Physical Sciences, 7(2012), p. 1314 –1320.
[2] N. Nedjah, L. Coelho and L. Mourelle, Mobile Robots: The Evolutionary Approach, Studies in Computational Intelligence Springer, 50(2007).
[3] D. Q. Zhu, M. z. Van, Survey on technology of mobile robot path planning, Control and Decision,25(2010), p.961-967.
[4] Z.M. Wang, Path Planning and Trajectory Tracking of Mobile Robot, CN Ordnance Industry Press,(2008).
[5] S. O.loon, H. C Yoon, Complete coverage navigation of cleaning robots using triangular cell-based map, IEEE Transactions on Industrial Electronics, 51(2004), p.718- 726.
[6] Y. Hu and S. Yang, A knowledge based genetic algorithm for path planning of a mobile robot, International Conference on Robotics and Automation, (2004).
[7] Q. Li, X. Tong, S. Xie, and Y. Zhang, Optimum path planning for mobile robots based on a hybrid genetic algorithm, Sixth International Conference on Hybrid Intelligent Systems, (2006).
[8] L. Lin, H. Wang, and Q. Wu, Improved genetic algorithms based path planning of mobile robot under dynamic unknown environment. louyang, International Conference on Mechatronics and Automation, (2006).
[9] N. Sadati and J. Taheri, Genetic algorithm in robot path planning in crisp and fuzzified environments, International Conference on Industrial Technology, (2002).
[10] P. Raja and S. Pugazhenthi, Path planning for a mobile robot using real coded genetic algorithm, International Journal of Advanced Robotic Systems, 10( 2009) ,p. 27–39.
[11] Tauã M. Cabreira , Graçaliz P. Dimuro , Marilton S. de Aguiar, An Evolutionary Learning Approach for Robot Path Planning with Fuzzy Obstacle Detection and Avoidance in a Multi-agent Environment, Social Simulation (BWSS), Third Brazilian Workshop (2013).
[12] Jitin Kumar Goyal , K.S. Nagla , A New Approach of Path Planning for Mobile Robots, International Conference on Advances in Computing, Communications and Informatics, (2014).
[13] S. Russel and P. Norvig, Artificial Intelligence: A Modern Approach. Prentice Hall Series, (2003).
[14] David Poole , Alan Mackworth Artificial Intelligence: Foundations of Computational Agents, second edition, Cambridge University Press (2017).
