Honey Badger Algorithm for optimizing truss structures with discrete design variables

Abstract

An optimization strategy utilizing the Honey Badger Algorithm (HBA) is formulated in this article for the optimal design of truss structures with discrete variables under multi-load scenarios. HBA is implemented to optimize fundamental design criteria that involve the cross-sectional areas of the truss members. Structural evaluations are conducted by analyzing different cross-sectional configurations, with the primary objective of minimizing the total mass of the structure while satisfying stress and displacement constraints. The HBA is used as a metaheuristic optimizer to explore the design domain and converge towards optimal or near-optimal configurations. This approach is applied to several benchmark examples, including planar and spatial trusses, and the results are compared with existing studies to assess the algorithm's performance. The optimization outcomes confirm the effectiveness and robustness of HBA in solving constrained structural optimization problems, as well as its ability to achieve rapid convergence toward high-quality solutions.