Bio-inspired Computing for Problems with Dynamically Changing Constraints

针对动态变化约束问题的仿生计算

• 批准号: DP160102401
• 负责人: Prof Frank Neumann
• 金额: $ 28.02万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160102401
• 关键词: Bio; inspired; Computing; Problems; Dynamically

The aim of this project is to design bio-inspired computing methods for dynamically changing environments. Dynamic problems arise frequently in the areas of engineering, logistics, and manufacturing. Such problems are usually subject to a large set of constraints that change over time due to changes in resources. Algorithms that can deal with such dynamic changes would benefit decision-makers. The project aims to provide a foundational theory as the basis for the design of bio-inspired algorithms dealing with dynamically changing constraints and provide approaches for dealing with important industrial problems.

该项目的目的是为动态变化的环境设计生物启发的计算方法。动态问题经常出现在工程、物流和制造领域。这些问题通常会受到大量约束的影响，这些约束会随着时间的推移而变化，这是由于资源的变化。能够处理这种动态变化的算法将使决策者受益。该项目旨在提供一个基础理论，作为设计生物启发算法处理动态变化的约束条件的基础，并提供处理重要工业问题的方法。