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).

我的研究结合了知识工程与基于启发式的和自然风格的技术，用于系统设计和分析 - 在硬件和软件级别以及整体数据处理。 它依赖于假设，即大多数设计和分析问题都可以转换为存在自然等效物并在进化过程中解决的分类或优化问题，或者可以用新的形式主义来处理它们（例如混乱理论，模糊逻辑等）。在此过程中，我打算在容易组合爆炸的情况下补充现有的形式技术，不能导致很容易利用（即封闭形式）解决方案，或者简直太慢（例如，基本的RF和微波电路的设计当前的设计可能会在没有丰富经验的情况下使用时光，可以花费小时的时间）。