From Genetic Programming to Computational Evolution

从遗传编程到计算进化

• 批准号: 283304-2012
• 负责人: Banzhaf, Wolfgang
• 金额: $ 2.48万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=594801
• 关键词: Genetic; Programming; Computational; Evolution

The goal of the research proposed here is to move from earlier very abstract and simplified EC models, closer to realistic models of natural evolution implemented in computational systems, in other words, in the direction of "computational evolution". To this end, a number of basic assumptions of established evolutionary algorithms will be subjected to critical revision. In addition, new concepts of molecular and evolutionary biology not known at the time of the design of these algorithms will be incorporated. While the set of those concepts is virtually endless, my focus for the next five years is on the following topics:

这里提出的研究的目标是从早期的非常抽象和简化的EC模型，更接近现实的自然进化模型中实现的计算系统，换句话说，在“计算进化”的方向。为此，一些已建立的进化算法的基本假设将受到严格的修订。此外，分子和进化生物学的新概念不知道在这些算法的设计时间将被纳入。虽然这些概念几乎是无穷无尽的，但我在未来五年的重点是以下主题：