Evolutionary computation for expensive bilevel multiobjective problems

昂贵的双层多目标问题的进化计算

• 批准号: DP220101649
• 负责人: A/Prof Hemant Singh
• 金额: $ 28.05万
• 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: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220101649
• 关键词: Evolutionary; computation; expensive; bilevel; multiobjective

This project aims to develop an evolutionary computation framework to solve computationally expensive bilevel multiobjective problems. The research is fundamental in nature and will address key open challenges in solving such problems, including hierarchical decision-making, multiple performance criteria, uncertainties and computational expense. The proposed research has applications in diverse domains such as environmental policy formulation, network design, engineering, defence and cybersecurity; offering significant benefits to the researchers and practitioners in these fields. In addition to research outputs, it will strengthen international collaboration and build research capacity to put Australia at the forefront of this research.

本项目旨在开发一种进化计算框架来解决计算成本高的双层多目标问题。这项研究本质上是基础性的，将解决解决这些问题的关键开放挑战，包括分层决策、多种性能标准、不确定性和计算费用。拟议的研究在环境政策制定、网络设计、工程、国防和网络安全等各个领域都有应用；为这些领域的研究人员和从业人员提供了显著的好处。除了研究产出外，它还将加强国际合作和建立研究能力，使澳大利亚处于这一研究的前沿。