Evolutionary Artificial Neural Networks on simulated soccer robots

Conference proceedings article

Authors/Editors

Strategic Research Themes

No matching items found.

Publication Details

Author list: Suthambut K., Polvichai J.

Publisher: Hindawi

Publication year: 2011

Start page: 119

End page: 122

Number of pages: 4

ISBN: 9781457706875

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960415910&doi=10.1109%2fJCSSE.2011.5930105&partnerID=40&md5=67cf7710794646b8ed10df05a09d39d7

Languages: English-Great Britain (EN-GB)

View on publisher site

Abstract

A soccer robot is a cooperative robot agent system on a soccer game. Robot controllers in this project must react to different environments on each robot to achieve the goal while the optimal solution of controller configuration is hard to define. The Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs) give us a key to solve these problems. An ANN develops itself to process complex problem while a GA finds acceptable solutions with the ability of randomness. The project shows that these hybrid methods used in soccer league simulation yield a promising result. ฉ 2011 IEEE.

Keywords

Soccer Robots