Original scientific paper

https://doi.org/10.31534/engmod.2023.2.ri.05v

A Novel Algorithm for Solving Structural Optimization Problems

Dandash Alaa ; School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, CHINA
Liao HuaLin ; School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, CHINA
Xiao WenSheng ; College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, CHINA

Abstract

In the past few decades, metaheuristic optimization methods have emerged as an effective approach for addressing structural design problems. Structural optimization methods are based on mathematical algorithms that are population-based techniques. Optimization methods use technology development to employ algorithms to search through complex solution space to find the minimum. In this paper, a simple algorithm inspired by hurricane chaos is proposed for solving structural optimization problems. In general, optimization algorithms use equations that employ the global best solution that might cause the algorithm to get trapped in a local minimum. Hence, this methodology is avoided in this work. The algorithm was tested on several common truss examples from the literature and proved efficient in finding lower weights for the test problems.

Keywords

structural optimization; optimum truss design; stochastic search method; metaheuristic algorithm; size optimization

Hrčak ID:

310164

URI

https://hrcak.srce.hr/310164

Publication date:

21.7.2023.

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