The main purpose of this paper is to obtain more appropriate design for truss structures using a discrete novel nature-inspired optimization algorithm. The so-called Dragonfly Algorithm (DA) was employed to achieve the aim of this paper. The inspiration of the DA emerges from behaviors of static and dynamic swarming of dragonflies in the nature. The DA was originally developed for continuous optimization problems. This paper proposes some amendments to the DA for solving discrete functions of optimization problems and improving the performance of the algorithm. The modified algorithm was examined on five well-known planar and spatial steel trusses with discrete sizing variables. The effectiveness and robustness of the proposed algorithm were verified by comparing the new method with various widely-known metaheuristic algorithms. The numerical results demonstrate that the DA is more effective and accurate than other algorithms in terms of achieving the lightest weight with minimum number of structural analysis and satisfying the required structural constraints.

本文的主要目的是使用离散的，新颖的，受自然启发的优化算法来获得更合适的桁架结构设计。所谓的蜻蜓算法（DA）被用来达到本文的目的。DA的灵感来自自然界中蜻蜓的静态和动态蜂群行为。DA最初是为解决连续优化问题而开发的。本文针对DA提出了一些修正，以解决优化问题的离散功能并提高算法的性能。在五个具有离散尺寸变量的著名平面和空间钢桁架上研究了改进的算法。通过将该新方法与各种广为人知的元启发式算法进行比较，验证了所提算法的有效性和鲁棒性。