Genetic programming and self-organization

遗传编程和自组织

• 批准号: 283304-2007
• 负责人: Banzhaf, Wolfgang
• 金额: $ 1.82万
• 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: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=456477
• 关键词: Genetic; programming; self; organization

The goal of the proposed research program is to study the relation between a particular method in the area of Evolutionary Computation, namely Genetic Programming (GP) , and the field of Self-Organization. The need for such a study comes from the realization that GP in its traditional form has reached a plateau of development. The technique is presently being exploited in many fields of Science and Engineering, yet its limitations become clearer every day. One key obstacle for GP is the problem of scalability, i.e. the difficulty to evolve large programs using present-day representations of programs. Another difficulty is the interaction of various non-intended, emergent phenomena of evolutionary runs with the primary goal of the artificial evolution.

该研究计划的目标是研究进化计算领域的一种特定方法，即遗传规划（GP）和自组织领域之间的关系。需要这样的研究来自于认识到，GP在其传统形式已经达到了发展的高原。该技术目前正在科学和工程的许多领域中使用，但其局限性每天都变得更加清晰。GP的一个关键障碍是可扩展性问题，即难以使用当前的程序表示来进化大型程序。另一个困难是各种非预期的、进化过程中涌现的现象与人工进化的主要目标之间的相互作用。