The Simulation and Analyses of Timing-Optimal Trajectory Planning for 6DOF Robot
2014 ◽
Vol 716-717
◽
pp. 1555-1558
Keyword(s):
The algorithm has been improved to the adaptive genetic operators and flow based on the basic theory of simple genetic algorithm and adopted elitism strategy to select the best individual for iterative operation. The improved genetic algorithm not only ensured better global search performance, but also improved the convergent speed. The optimal solution was obtained and simulated by the improved genetic algorithms under the kinematical constraints.
2013 ◽
Vol 433-435
◽
pp. 562-565
◽
2021 ◽
Vol 13
(7)
◽
pp. 168781402110346
2014 ◽
2010 ◽
Vol 8
(1/2/3/4)
◽
pp. 185
◽
2012 ◽
Vol 466-467
◽
pp. 1095-1099
2013 ◽
Vol 328
◽
pp. 444-449
◽