Constrained design optimization of selected mechanical system components using Rao algorithms

Abstract

The design optimization of mechanical system components, like bearings, pulleys, springs, etc. is an essential issue due to the current competitive market. The performance of any mechanical system depends on the design of their mechanical components. The design optimization of these mechanical components is a difficult task due to the intricate design constraints and mixed type design variables (i.e., continuous, discrete, and integer). This paper explores the performance of Rao algorithms on the design optimization of selected mechanical system components. The designs obtained using Rao algorithms are compared with the designs obtained using other optimization algorithms in previous studies. The comparison of results shows the ability and the efficiency of Rao algorithms for solving complex design optimization problems of mechanical components.