Nature-inspired methods for hardware and software system design and information processing

硬件和软件系统设计和信息处理的自然启发方法

• 批准号: 156900-2013
• 负责人: Boukadoum, AMounir
• 金额: $ 1.75万
• 依托单位: Université du Québec à Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=545753
• 关键词: Nature; inspired; methods; hardware; software

My research investigates the use of knowledge engineering, heuristics and nature-inspired computation for system design and analysis. Its basic postulate is that most system design, modeling, and analysis problems can be represented as classification or optimization problems for which a natural equivalent exist and have been solved over the course of evolution, or for which innovative search algorithms can be developed using heuristic search and/or data mining. In doing so, I seek alternative approaches to existing formal techniques when they are inapplicable or too slow.

我的研究调查了知识工程、启发式和自然启发计算在系统设计和分析中的应用。其基本假设是，大多数系统设计、建模和分析问题都可以表示为分类或优化问题，这些问题存在自然等价物并在进化过程中得到解决，或者可以使用启发式搜索开发创新的搜索算法和/或数据挖掘。在此过程中，当现有的正式技术不适用或太慢时，我寻求替代方法。