Nature-inspired computing and knowledge engineering for embedded system design and information processing

用于嵌入式系统设计和信息处理的自然计算和知识工程

• 批准号: 156900-2012
• 负责人: Boukadoum, AMounir
• 金额: $ 1.31万
• 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: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=509329
• 关键词: Nature; inspired; computing; knowledge; engineering

My research combines knowledge engineering with heuristics-based and nature-inspired techniques for system design and analysis - both at the hardware and software levels - and overall data processing. It relies on the postulate that most design and analysis problems can be converted to classification or optimization problems for which natural equivalents exist and have been solved over the course of evolution, or that they can be handled with new formalisms (e.g. chaos theory, fuzzy logic, etc.). In doing so, I intend to supplement the existing formal techniques when they are prone to combinatorial explosion, cannot lead to readily exploitable (i.e. closed form) solutions, or are simply too slow (for example, the design of basic RF and microwave circuits by current means may take hours for a designer without extensive experience).

我的研究将知识工程与基于启发式和自然启发的技术相结合，用于系统设计和分析（硬件和软件级别）以及整体数据处理。 它依赖于这样的假设：大多数设计和分析问题可以转换为分类或优化问题，这些问题存在自然等价物并在演化过程中得到解决，或者可以用新的形式主义（例如混沌理论、模糊逻辑）来处理它们， ETC。）。在此过程中，我打算补充现有的形式化技术，当它们容易发生组合爆炸、无法产生易于利用的（即封闭形式）解决方案或速度太慢时（例如，基本射频和微波电路的设计对于没有丰富经验的设计师来说，目前的方法可能需要几个小时）。