Title :
Using an Evolutionary Agent-Based System for Classification Tasks
Author :
Oliveira, D.F. ; Canuto, Anne ; de Souto, Marcilio C. P.
Author_Institution :
Fed. Univ. of Rio Grande do Norte, Natal
Abstract :
The ClassAge system is a multi-agent system for classification tasks. This system was proposed as an attempt to include the idea of intelligent agents in the structure of multi-classifier systems (MCSs). Also, it is aimed to overcome some drawbacks of MCSs and, as a consequence, to improve the performance of such systems. In this paper, an extension of ClassAge is presented. Basically, an optimization technique is used to optimize the functioning of ClassAge. Also, each ClassAge agent is composed of a group of classifiers, instead of one classifier that was used in the original version.
Keywords :
evolutionary computation; multi-agent systems; pattern classification; ClassAge system; evolutionary multiagent system; multiclassifier system; optimization technique; Decision making; Genetic algorithms; Informatics; Intelligent agent; Intelligent systems; Mathematics; Multiagent systems; Neural networks; Pattern recognition; Testing;
Conference_Titel :
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-0-7695-2976-9
DOI :
10.1109/ISDA.2007.98
