基于jaya算法的塔结构离散与连续设计优化

S. O. Degertekin, L. Lamberti, I. Ugur
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引用次数: 0

摘要

Jaya算法是近年来发展起来的一种用于塔架结构设计优化的元启发式算法。JA的显著特征是它不使用特定于算法的参数。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72杆空间塔结构的连续优化设计和244杆空间塔结构的离散优化设计,验证了JA的有效性。结果表明,该方法在优化权值、标准差和结构分析次数等方面均优于其他元启发式优化方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DISCRETE AND CONTINUOUS DESIGN OPTIMIZATION OF TOWER STRUCTURES USING THE JAYA ALGORITHM
The Jaya algorithm (JA) which is very recently developed metaheuristic method is proposed for design optimization of tower structures. The distinctive characteristic of JA is that it does not use 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. Continuous design optimization of 72-bar spatial tower and discrete design optimization of 244-bar spatial tower structure are used to demonstrate the validity of JA. The results show that the JA can obtain better designs than those of the other metaheuristic optimization methods in terms of optimized weight, standard deviation and number of structural analyses.
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