基于遗传算法的空间桁架重量最小化

M. Grzywiński, J. Selejdak
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引用次数: 1

摘要

摘要提出了一种考虑尺寸和形状设计变量的空间桁架结构重量最小化问题的遗传算法。本研究采用了一种最新发展的元启发式方法JAYA算法(JA)来优化桁架结构。JA的主要特点是不需要设置特定于算法的参数。该算法有一个非常简单的公式,其基本思想是接近最佳解并逃离最差解。通过MATLAB中的有限元程序对结构进行了分析。通过39杆基准空间桁架验证了JA算法的有效性,并与文献结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weight Minimization of Spatial Trusses with Genetic Algorithm
Abstract A genetic algorithm is proposed to solve the weight minimization problem of spatial truss structures considering size and shape design variables. A very recently developed metaheuristic method called JAYA algorithm (JA) is implemented in this study for optimization of truss structures. The main feature of JA is that it does not require setting algorithm specific parameters. The algorithm has a very simple formulation where the basic idea is to approach the best solution and escape from the worst solution. Analyses of structures are performed by a finite element code in MATLAB. The effectiveness of JA algorithm is demonstrated through benchmark spatial truss 39-bar, and compare with results in references.
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