Genetic programming and self-organization

提出的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）与自组织领域之间的关系。这种研究的必要性来自于传统形式的GP已经达到了发展的平台期。这项技术目前正被应用于许多科学和工程领域，但它的局限性日益明显。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发展大型程序。另一个困难是与人工进化的主要目标相互作用的各种非预期的、突现的进化现象。

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.