A Backtracking Search Algorithm for the Simultaneous Size, Shape and Topology Optimization of Trusses

Abstract

This paper presents a Backtracking Search Optimization algorithm (BSA) to simultaneously optimize the size, shape and topology of truss structures. It focuses on the optimization of these three aspects since it is well known that the most effective scheme of truss optimization is achieved when they are simultaneously considered. The minimization of structural weight is the objective function, imposing displacement, stress, local buckling and/or kinematic stability constraints. The effectiveness of the BSA at solving this type of optimization problem is demonstrated by solving a series of benchmark problems comparing not only the best designs found, but also the statistics of 100 independent runs of the algorithm. The numerical analysis showed that the BSA provided promising results for the analyzed problems. Moreover, in several cases, it was also able to improve the statistics of the independent runs such as the mean and coefficient of variation values.

MiR-181b Inhibits the Proliferation of Lymphoma Rajixi Cell Line by Regulating the Expression of Target Gene FAMLF

“…And CD34 + cells from 12 AL patients and 10 healthy donors (18)(19)(20). The total expression of FAMLF was quantified using the 363 bp consensus sequence as the target (21)(22)(23). Kruskal-Wallis, Nemenyi, Spearman correlation, and Mann-Whitney U test were used to analyze the data (24)(25)(26)(27).…”