An Improved Rider Optimization Algorithm for Solving Engineering Optimization Problems

Abstract

This paper proposed an improved optimization algorithm for engineering optimization problems. This improved optimization algorithm, namely, gravitational search strategy-assisted rider optimization algorithm (GSSROA), combines the gravitational search strategy (GSS) with the rider optimization algorithm (ROA). In the GSSROA, the search step can be adaptively adjusted in each iteration. The performance of the GSSROA has been verified with three benchmark engineering design problems. The results indicate that the proposed GSSROA has the feasibility and good robustness. Then, the GSSROA is applied to optimize the weight of the front axle of an automobile under the non-linear constraints. The results show that the GSSROA can achieve the optimal structure with a weight that is reduced by 16.82% compared with the initial design.