Application of Grasshopper Algorithm for Solving Optimization Problems in Engineering

Abstract

Today, there is increasing use of optimization methods in order to achieve acceptable performance. In this paper we will demonstrate how Grasshopper Optimization Algorithm (GOA for short) can be used for solving certain optimization problems in engineering. In the first part, biological fundamentals, as well as method explanation are given. Afterwards, the GOA algorithm and its’ applicability is explained in detail. The pseudo code for this algorithm was written using Matlab R2018a software suite. This algorithm can be used for optimization of engineering problems, such as: helical spring optimization, car side impact optimization, cone clutch optimization and speed reducer optimization. In the end, all the results for the fore mentioned problems, as well as a result comparison with other methods are shown.