Robust Derivative-Free Algorithms for Complex Optimisation Problems

用于复杂优化问题的鲁棒无导数算法

• 批准号: DE240100006
• 负责人: Dr Lindon Roberts
• 金额: $ 30.78万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-03-01 至 2027-02-28
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE240100006
• 关键词: Robust; Derivative; Free; Algorithms; Complex

Mathematical optimisation gives a systematic way for optimal decision-making. This project aims to develop new mathematical tools for complex optimisation problems where limited problem information is available. It will generate new foundational theories for alternative optimisation tools, introducing substantial new capability and rigour to the discipline. The project will create significant new mathematical optimisation techniques and create world-leading and publicly available software. These new techniques and software may ultimately be able to solve some of the most complex optimisation problems in research and industry, such as improving long-term climate predictions and designing 3D-printed medical implants.

数学优化为最佳决策提供了一种系统的方式。该项目旨在开发新的数学工具，以解决有限的问题信息的复杂优化问题。它将为替代优化工具生成新的基础理论，从而向学科引入实质性的新功能和严格性。该项目将创建重要的新数学优化技术，并创建世界领先和公开的软件。这些新技术和软件最终可能能够解决研究和行业中一些最复杂的优化问题，例如改善长期气候预测并设计3D打印的医疗植入物。