A novel and efficient approach for optimisation involving iterative solvers

一种涉及迭代求解器的新颖有效的优化方法

• 批准号: DP190101271
• 负责人: Prof Tapabrata Ray
• 金额: $ 25.28万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-07-19 至 2023-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190101271
• 关键词: novel; efficient; approach; optimisation; involving

Computationally expensive simulations involving iterative solvers are increasingly being used in industry to assess performance of products and processes. Repeated use of such simulations is necessary to identify optimum solutions. Even with today's computing power, many such tasks remain computationally prohibitive. This project presents a novel approach to solve optimisation problems involving iterative solvers with limited computing budget. A wide range of industries involved in product and process design would gain a significant competitive advantage from this unique technical innovation. In addition, this technology will be invaluable to uncover and understand complex natural phenomena.

工业中越来越多地使用涉及迭代求解器的计算成本高昂的模拟来评估产品和流程的性能。重复使用这种模拟是必要的，以确定最佳的解决方案。即使有今天的计算能力，许多这样的任务仍然在计算上是禁止的。这个项目提出了一种新的方法来解决优化问题，涉及有限的计算预算迭代求解器。涉及产品和工艺设计的广泛行业将从这种独特的技术创新中获得重大的竞争优势。此外，这项技术对于揭示和理解复杂的自然现象将是无价的。