Multi-objective grammar-guided genetic programming for bio-network modelling and evolutionary design

用于生物网络建模和进化设计的多目标语法引导遗传编程

• 批准号: 138467-2011
• 负责人: Ross, Brian
• 金额: $ 1.02万
• 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: 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=507872
• 关键词: Multi; objective; grammar; guided; genetic

This research uses artificial intelligence algorithms to automatically construct biological simulations, and solve problems in graphics and design. Genetic programming is an artificial intelligence technology that uses a simulation of Darwinian evolution to create computer programs. The research will improve some of the technical aspects of genetic programming, to improve its effectiveness at solving complex problems that are often very challenging for human beings to accomplish. For example, new ways of representing problem-solving programming languages will be derived. Improvements to evaluating potential solutions to problems will also be invented.

本研究利用人工智能算法自动构建生物模拟，解决图形和设计方面的问题。遗传编程是一种人工智能技术，它使用模拟达尔文进化论来创建计算机程序。这项研究将改进遗传编程的一些技术方面，以提高其解决复杂问题的效率，这些问题通常对人类来说是非常具有挑战性的。例如，将衍生出表示解决问题的编程语言的新方法。还将发明评估问题潜在解决方案的改进方法。