遗传网络规划的功能定位及其在寻迹问题中的应用

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI:10.1109/CEC.2004.1330925

S. Eto, K. Hirasawa, Jinglu Hu

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引用次数: 1

摘要

根据脑科学的知识，人们认为存在大脑功能定位，即根据人类接收到的各种信息，大脑的特定部位会被激活。本文的目的是建立一个基于遗传网络规划(GNP)的人工模型来实现功能定位，这是最近发展起来的一种新的进化计算方法。GNP具有适合实现功能定位的有向图结构。我们通过使国民生产总值以功能本地化的方式工作来研究所提出的系统的基本特征。

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Functional localization of genetic network programming and its application to a pursuit problem

According to the knowledge of brain science, it is suggested that there exists cerebral functional localization, which means that a specific part of the cerebrum is activated depending on various kinds of information human receives. The aim of this paper is to build an artificial model to realize functional localization based on genetic network programming (GNP), a new evolutionary computation method recently developed. GNP has a directed graph structure suitable for realizing functional localization. We studied the basic characteristics of the proposed system by making GNP work in a functionally localized way.

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来源期刊

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)

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