Optimization of plane frames using the search group algorithm for economically efficient structural design

Resumo

This paper presents a design procedure that leverages the Search Group Algorithm (SGA) to optimize
discrete planar steel frames. SGA, a robust global optimization heuristic, orchestrates search groups to
systematically explore the design space on a global scale, subsequently fine-tuning their exploration in localized
optimal regions. The algorithm's application revolves around solving a structural optimization problem focused on
obtaining steel frames with minimum weight, all while meeting requirements for both strength and displacement
of the set. This is achieved through the selection of appropriate sections from a standardized set of steel sections
as outlined by ABNT NBR 8800. Demonstrating the procedure's efficacy, a steel frame example is transformed
into two distinct designs, maintaining consistent spatial arrangements. By conducting a comparative analysis, they
are examined to verify the effectiveness of the SGA for similar problems, and compared to see which design
performed better.