طراحی مسیر یک بازوی مکانیکی ماهر ابر افزونه برای حرکتی بدون برخورد، با بکارگیری یک الگوریتم ژنتیک دو لایه

[1] Saab, Y., Vanputte, M., “Shortest path planning on topographical maps” IEEE Trans System Man Cy A,29(1), pp. 139-150, 1999.

[2] Galicki, M., “Optimal planning of collision-free trajectory of redundant manipulators” Int. J. of Robotics Research 11, pp. 549-559, 1992.

[3] Ding, H., Li, H.X., “Fuzzy avoidance control strategy for redundant manipulators” Engineering Application of AI 12, pp.

513-521, 1999.

[4] Zhang, Y., Wang, J., “Obstacle avoidance for kinematically redundant manipulators using a dual neural network” IEEE Transactions on Systems, Man, and Cybernetics-Part B Cybernetics, Vol. 34, No. 1, February 2004.

[5] Yano, F., Tooda, Y., “Preferable movement of a multi-joint robot arm using genetic algorithm” In: Part of the SPIE Conf. On

Intelligent Robots and Computer Vision 3837, pp. 80-88, 1999.

[6] Lavoie, M.H., Boudreau, R., “Obstacle avoidance for redundant manipulators using a genetic algorithm” CCToMM

Symposium, 2001.

[7] Tian, L., Collins, C., “An effective robot trajectory planning method using a genetic algorithm” J. of Mechatronics 14(5), pp.

455-470, 2004.

[8] Roy, S.S., Pratihar, D.K., “A genetic-fuzzy approach for optimal path-planning of a robotic manipulator among static

obstacles” IE (I) Journal-CP 84, pp. 15-22, 2003.

[9] Lancaster, P., Salkauskas, K., “Curve and surface fitting, an introduction” San Diego, CA, USA: Academic Press Inc, 1986.

[10] Mckinley, S., Levine, M., “Cubic Spline Interpolation” Math 45: Linear Algebra, 1999.

[11] Chen, M.W., Zalzala, A.M.S., “Dynamic modeling and genetic-based trajectory generation for non-holonomic

mobile manipulators” Control Eng. Practice 5(1), pp. 39-48, 1997.

[12] Chipperfield, A., Fleming, P., Fonseca, C., “Genetic algorithm toolbox for use with MATLAB” Department of Automatic Control and Systems Engineering, University of Sheffield, Version 1.2, 1994.

[13] Park, T., and Ryu, K.R., “A dual population genetic algorithm with evolving diversity” IEEE Congress on Evolutionary Computation, 2007.

[14] Wang, H., and Wang, D., “An Improved Primal-Dual Genetic Algorithm for Optimization in Dynamic Environments” Lecture Notes in Computer Science, Neural Information Processing, 2006.

[15] Liu, L., Wang, D., and Ip, W.H., “A permutation-based dual genetic algorithm for dynamic optimization problems” Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2008