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Topology Optimization Benchmark Problems for Assessing the Performance of Optimization Algorithms

机译:拓扑优化基准评估优化算法性能的基准问题

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This paper presents a set of benchmark topology optimization problems that are used to evaluate the performance of optimization software. The topology optimization formulations considered in this benchmark set include mass-constrained compliance minimization, stress-constrained mass minimization, mass and stress-constrained compliance minimization, and mass and frequency-constrained compliance minimization. Both structured and unstructured quadrilateral and hexahe-dral meshes are used with conventional and non-conventional topology optimization design domains. In total, the benchmark set contains 108 2D and 72 3D domain and mesh combinations. In this preliminary work, the performance of the optimizers SNOPT, IPOPT and ParOpt are evaluated. Performance profiles are used to assess the performance of an optimizer across the full benchmark set. We find that SNOPT performs the best overall among all optimizers. Furthermore, a modification of the quasi-Newton Hessian update provides a considerable performance benefit in both objective function value and discreteness measure.
机译:本文介绍了一组基准拓扑优化问题,用于评估优化软件的性能。在该基准组中考虑的拓扑优化制剂包括质量约束的顺从最小化,应力受限质量最小化,质量和应力受限的顺从最小化,以及质量和频率约束的顺从最小化。结构化和非结构化的四边形和六次驱动网格都与常规和非传统拓扑优化设计域一起使用。总共,基准集包含108 2D和72 3D域和网格组合。在初步工作中,评估优化器SNOPT,IPOPT和PAROPT的性能。性能配置文件用于评估Optimizer跨整个基准集的性能。我们发现SNOPT在所有优化器中都能表现最佳。此外,准牛顿Hessian更新的修改在客观函数值和离散度量方面提供了相当大的性能益处。

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