Variable neighborhood search (VNS) is a metaheuristic approach for solving combinatorial and global optimization problems in discrete search space. This paper explores the possibility of applying VNS and its several extensions to the optimization of truss structures considering the cross sections of the members as discrete variables. The constraints imposed to the optimization are the allowable stress and the displacement limits on nodes. Various truss structure examples with fixed geometries are presented in order to demonstrate the effectiveness of the VNS and its extensions compared with other methods.

中文翻译：

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使用可变邻域搜索对桁架结构进行离散优化

变量邻域搜索 (VNS) 是一种元启发式方法，用于解决离散搜索空间中的组合和全局优化问题。本文探讨了将 VNS 及其几个扩展应用到考虑构件横截面作为离散变量的桁架结构优化的可能性。对优化施加的约束是节点上的许用应力和位移限制。展示了具有固定几何形状的各种桁架结构示例，以证明 VNS 及其扩展与其他方法相比的有效性。