Work

Plane Frame Structures: Optimization and Design Solutions Clustering

Year: 2025

Type: article

Abstract: This work aims to constitute a framework dataflow based on the prediction, optimization, and characterization of optimal solutions. To this purpose, a metaheuristic optimization method is used to obtain the optimal design solutions for discrete plane frame structures considering as objective function the minimization of their maximum resultant displacement, subjected to side and behavioral constraints. The design variables that lead to the optimal solutions are constituted into datasets which are subsequently submitted to a clustering analysis. The results obtained provide pertinent insights about the optimal solutions clusters’ ranges, giving effective support to a specific solution selection.

Source: Algorithms

DOI: 10.3390/a18070375

Authors: Joana S. D. Gaspar, Maria A. R. Loja, Joaquim I. Barbosa

Institutions: Universidade Politécnica de Lisboa, Centro de Investigação em Modelação e Optimização de Sistemas Multifuncionais, Instituto Superior Técnico Instituto de Engenharia Mecânica

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,930

Funder: Fundação para a Ciência e a Tecnologia