Derivative free algorithms for large scale nonsmooth and global optimization and their applications

大规模非光滑全局优化的免导算法及其应用

• 批准号: DP0666061
• 负责人: Prof Adil Bagirov
• 金额: $ 32.37万
• 依托单位: Federation University Australia
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2006
• 资助国家: 澳大利亚
• 起止时间: 2006-02-09 至 2011-02-09
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0666061
• 关键词: Derivative; free; algorithms; large; scale

The outcomes expected from this research fall broadly into two categories: 1) the development of a new class of effective readily implementable derivative free techniques for large scale non-smooth and global optimisation and 2) the development of new algorithms based on derivative free optimization techniques for solving data mining, resource allocation problems and some problems in bioinformatics. In particular, the application of these techniques to molecular biology and cluster analysis will be very important for the development of competitive technologies for Australia.

本研究的预期成果大致分为两类：1）开发一类新的有效的易于实施的衍生自由技术，用于大规模非光滑和全局优化; 2）开发基于衍生自由优化技术的新算法，用于解决数据挖掘，资源分配问题和生物信息学中的一些问题。特别是，这些技术的分子生物学和聚类分析的应用将是非常重要的竞争技术的发展，澳大利亚。