混沌复杂演化全局优化技术在桁架结构设计中的应用

Samer M. Barakat, H. Ibrahim
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引用次数: 2

摘要

本文提出了基于演化的桁架结构优化设计方法。将混沌复杂进化优化器(SCEO)用于求解非线性约束优化问题。在此优化设计公式中,目标函数为桁架材料自重;设计变量为桁架构件的截面;约束条件是构件的应力和节点的位移。使用非平稳的动态修正惩罚函数处理约束。文中给出了两个经典桁架优化实例,验证了该算法的有效性。这两个测试问题包括一个17巴平面桁架在单一荷载条件下和一个25巴空间桁架在两个荷载条件下。结果表明,SCEO方法在寻找最优解方面是非常有效的,其结果优于或处于其他结构优化方法的同一水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of shuffled complex evolution global optimization technique in the design of truss structures
This paper presents evolutionary-based optimization procedure for designing truss structures. The Shuffled Complex Evolution optimizer (SCEO) is used for solving the nonlinear constrained optimization problems. In this optimum design formulation, the objective function is the material weight of the truss; the design variables are the cross-sections of the truss members; the constraints are the stresses in members and the displacements of the joints. The constraints were handled using non-stationary dynamically modified penalty functions. Two classical truss optimization examples are presented herein to demonstrate the efficiency of the SCE algorithm. The two test problems include a 17-bar planar truss subjected to a single load condition and a 25-bar space truss subjected to two load conditions. The result shows that the SCEO method is very efficient in finding the best discovered optimal solutions, which are better, or at the same level of the results of other structural optimization methods.
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