Abstract
The effectiveness of the TLBO and ETLBO algorithms is verified for design optimization of a robot manipulator by considering four cases and imposing different conditions to demonstrate the efficiency of the design process. The workspace volume is considered as an objective function. The results of the TLBO and ETLBO algorithms are compared with the SQP, GA, DE, and PSO algorithms. The computational results show that for all the four cases the TLBO and ETLBO algorithms have obtained more accurate solutions than those obtained by the other optimization methods.
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