Genetic Programming Techniques for Modelling and Design

用于建模和设计的遗传编程技术

• 批准号: RGPIN-2016-03653
• 负责人: Ross, Brian
• 金额: $ 1.6万
• 依托单位: Brock University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635092
• 关键词: Genetic; Programming; Techniques; Modelling; Design

Computational intelligence is a branch of artificial intelligence that uses problem-solving algorithms inspired by phenomena seen in nature. My research is in genetic programming (GP). This is a computational intelligence technique inspired by Darwin's theory of evolution, which is used to automatically "breed" computer programs to solve a variety of problems. I am interested in the use of GP to solve problems in evolutionary design. This is a research area involving complex design problems found in diverse areas such as 3D modelling, architecture, art, biological networks, and others. A common theme in design fields is the assumption that solutions inherently require a high degree of human ingenuity and creativity. Furthermore, unlike other problems studied in GP, many different solutions are often possible for a given design problem. For example, there are a multitude of useful designs for an energy-efficient building.

计算智能是人工智能的一个分支，它使用受自然现象启发的解决问题的算法。我的研究是遗传编程（GP）。这是一种受达尔文进化论启发的计算智能技术，用于自动“繁殖”计算机程序，以解决各种问题。我对使用GP来解决进化设计中的问题很感兴趣。这是一个研究领域，涉及复杂的设计问题，在不同的领域，如3D建模，建筑，艺术，生物网络等。设计领域的一个共同主题是假设解决方案本质上需要高度的人类独创性和创造力。此外，与GP中研究的其他问题不同，对于给定的设计问题，许多不同的解决方案往往是可能的。例如，有许多有用的节能建筑设计。