Pheromone Based Dynamic Vaccination for Immune Algorithms

Authors:
Yutao Qi;Fang Liu;Licheng Jiao
Affiliations:
Institute of Intelligent Information Processing, Xidian University, Xi'an, 710071, China;Institute of Intelligent Information Processing, Xidian University, Xi'an, 710071, China;Institute of Intelligent Information Processing, Xidian University, Xi'an, 710071, China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Year:
2007

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Abstract

The vaccination which is a most effective protection against the virus is also a helpful part of the artificial immune systems (AIS). A vaccination in AIS means modifying some genes of an antibody in accordance with priori knowledge so as to gain higher affinity with greater probability. Since vaccination is problem specific, what can we do if we have no idea about the problem? To address this, we propose a pheromone based dynamic vaccination for real coded immune algorithms in this paper. The pheromone which is a term of the ant colony system is used as a carrier of knowledge learned from population's evolution and acts as a producer of dynamic vaccines. Experiments on numerical optimization problems indicate that the pheromone based vaccination operator has the ability of acquiring useful information about the objective functions and developing effective vaccines dynamically.