A case study of shape optimization using grasshopper optimization algorithm

Abstract

Structural optimization is a popular topic in today’s engineering and industry to reduce costs and obtain more ideal designs. In the structural optimization problem, the lightest design under conditions is investigated. Increasing studies in recent years have proven the success of metaheuristic optimization algorithms in structural optimization problems. Unlike the traditional method, metaheuristic methods use stochastic methods and do not need derivative information of the problem. This makes them more flexible and easy to use. In this study, a solid part’s shape optimization is performed by using the Grasshopper Optimization Algorithm (GOA). The design values and results found by the algorithm are discussed.