A Niche-MAS Framework for Evolving Artificial Neural Networks

被引：0
|
作者：
Wang, Yudong [1 ]
Zhu, Gengming [1 ]
机构：
[1] Hunan Univ Sci & Technol, Sch Comp Sci & Engn, Xiangtan 411201, Peoples R China
来源：
PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON COMMUNICATION, ELECTRONICS AND AUTOMATION ENGINEERING | 2013年 / 181卷
关键词：
neural networks; Niche Agents; Commonweal Agent; Niche-MAS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to adopt PEAs for evolving neural networks and to implement or simulate them efficiently, we introduce a distributed framework, called NMtENN in this paper. The NMtENN framework is embedded with a general PGA, which guide the evolution of the whole neural network population. But the PGA is not an explicit entity; it carries out by the Niche-MAS, which consists of a number of NAs (Niche Agents) and a CA (Commonweal Agent). By the implementation of NEAT, SANE, and MOBNET, NMfENN is demonstrated to be easily and conveniently employed to realize users' parallel evolutionary algorithms or strategies for evolving neural networks.
引用
收藏
页码：1081 / 1089
页数：9
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