Artificial Immune System with ART Memory Hibridization

Authors:
Jose Lima Alexandrino;Cleber Zanchettin;Edson Costa de Barros Carvalho Filho
Affiliations:
Federal University of Pernambuco - Brazil;Federal University of Pernambuco - Brazil;Federal University of Pernambuco - Brazil
Venue:
HIS '07 Proceedings of the 7th International Conference on Hybrid Intelligent Systems
Year:
2007

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Abstract

The present work proposes the architecture Clonart (Clonal Adaptive Resonance Theory) that employs many different techniques like intelligent operators, clonal selection principle, local search, memory antibodies and ART clusterization in order to increase the performance of the algorithm. The approach uses a mechanism similar to the ART 1 network for storing a population of memory antibodies that will be responsible for the acquired knowledge of the algorithm. This characteristic allows the algorithm a self-organization of the antibodies in accordance with the complexity of the database used.