Structural design optimization has always been a topic of concern in industry because good design can improve the safety and economic efficiency of structures during their service periods. Selecting the appropriate optimization algorithm is the key to solving structural optimal design problems. In this study, a new global optimization idea is proposed and named the moving baseline strategy. A baseline is initially set and will be repeatedly moving upward or downward to approach the optimal value. The proposed strategy is a simple but effective, general, and stable algorithm that can be used to solve constrained and unconstrained structural optimization problems. Different from traditional gradient-based, stochastic and heuristic algorithms, the developed algorithm provides a completely new idea to solve global or local optimization problems. Some unconstrained and constrained numerical benchmark examples are used to test the proposed methodology. In addition, structural optimal design problems of a ten-bar planar truss structure and a hypersonic wing structure (X-37B) are utilized to verify the effectiveness of the developed strategy in addressing structural design optimization problems in engineering.

中文翻译：

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基于移动基线策略的结构设计优化

结构设计优化一直是工业界关注的话题，因为良好的设计可以提高结构在使用期间的安全性和经济效率。选择合适的优化算法是解决结构优化设计问题的关键。在这项研究中，提出了一种新的全局优化思想，并将其命名为移动基线策略。最初会设置基线，并且基线将反复向上或向下移动以接近最佳值。所提出的策略是一种简单但有效，通用且稳定的算法，可用于解决约束和无约束的结构优化问题。与传统的基于梯度的，随机的和启发式算法不同，该算法为解决全局或局部优化问题提供了全新的思路。一些不受约束和受约束的数值基准示例用于测试所提出的方法。此外，利用十杆平面桁架结构和高超音速机翼结构（X-37B）的结构优化设计问题来验证所开发策略在解决工程中结构设计优化问题方面的有效性。