Path synthesis of a four-bar linkage using a teaching-learning-based optimization algorithm

Abstract This paper presents the performance of a teaching-learning-based optimization (TLBO) algorithm and its elite version named as an elitist teaching-learning-based optimization algorithm (ETLBO) to obtain the optimum set of design parameters for the path synthesis of a four-bar linkage. The minimization of the position error is considered as an objective function and four case studies are considered to verify the efficiency and accuracy of the TLBO and ETLBO algorithms. The synthesized mechanism is obtained for four case studies using the 2 D movable sketch method of SolidWorks. The results have shown that the performance of the TLBO and ETLBO algorithms are better or competitive to the other optimization methods considered by the previous researchers.