Robust Derivative-Free Algorithms for Complex Optimisation Problems
Robust Derivative-Free Algorithms for Complex Optimisation Problems
批准号:
DE240100006
负责人:
Dr Lindon Roberts
金额:
$30.78万
依托单位:
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
项目状态:
未结题
起止时间:
2024-03-01 至 2027-02-28
中文摘要
数学优化为最优决策提供了一种系统的方法。该项目旨在为复杂的优化问题开发新的数学工具,在这些问题的信息有限的情况下。它将为替代优化工具产生新的基础理论,为该学科引入大量新的能力和严谨性。该项目将创造重要的新的数学优化技术,并创造出世界领先的公开可用的软件。这些新技术和软件可能最终能够解决研究和工业中一些最复杂的优化问题,例如改善长期气候预测和设计3D打印的医疗植入物。
英文摘要
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.
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