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Ant colony algorithms for nonlinear analyses, simultaneous analysis-design, and optimal design of structures

机译:用于非线性分析,同时分析设计和结构优化设计的蚁群算法

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In this paper nonlinear analysis of structures considering material and geometric nonlinearity arernperformed using the force method and ant colony optimization (ACO) algorithms. For this purpose, the complementaryrnenergy of the structure is minimized using ACO algorithms. A new formulation of the complementaryrnenergy of truss and frame structures for nonlinear analysis is presented. Considering the energy term next tornthe weight of the structure, optimal design of structures is performed. Finally simultaneous analysis-designrnof structures is formulated and applied to truss and frame structures. Each method is accompanied by simplernexamples for clear illustration and showing the efficiency. The comparison betweenACO and other optimizationrnalgorithms shows that the ACO leads in better results in less computational time and iterations.
机译:本文采用力法和蚁群优化算法对考虑材料和几何非线性的结构进行非线性分析。为此,使用ACO算法将结构的互补能最小化。提出了一种用于非线性分析的桁架与框架结构互补能的新公式。考虑到紧挨结构重量的能量项,对结构进行了优化设计。最终,制定了同时分析-designrnof结构,并将其应用于桁架和框架结构。每种方法均附有简单的示例,以清楚地说明和显示效率。 ACO与其他优化算法的比较表明,ACO以更少的计算时间和迭代次数带来更好的结果。

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