Viral System to Solve Optimization Problems: An Immune-Inspired Computational Intelligence Approach

Authors:
Pablo Cortés;José M. García;Luis Onieva;Jesús Muñuzuri;José Guadix
Affiliations:
Ingeniería de Organización, Escuela Técnica Superior de Ingenieros, Seville University, Seville, Spain E-41092;Ingeniería de Organización, Escuela Técnica Superior de Ingenieros, Seville University, Seville, Spain E-41092;Ingeniería de Organización, Escuela Técnica Superior de Ingenieros, Seville University, Seville, Spain E-41092;Ingeniería de Organización, Escuela Técnica Superior de Ingenieros, Seville University, Seville, Spain E-41092;Ingeniería de Organización, Escuela Técnica Superior de Ingenieros, Seville University, Seville, Spain E-41092
Venue:
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Year:
2008

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Abstract

This paper presents Viral System as a new immune-inspired computational intelligence approach to deal with optimization problems. The effectiveness of the approach is tested on the Steiner problem in networks a well known NP-Hard problem providing great quality solutions in the order of the best known approaches or even improving them.