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Multi-Agent Immune Clonal Selection Algorithm Based Multicast Routing

  • Fang Liu
  • Yuan Liu
  • Xi Chen
  • Jin-shi Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)

Abstract

The least-cost multicast routing with delay constrained is an NP-Complete problems, to deal with which, a Multi-Agent Immune Clonal Selection Algorithm based multicast routing (MAICSA) is proposed in this paper. MAICSA combines the characteristic of Multi-Agent with the search strategy of Immune Clonal Selection Algorithm. To compare with the conventional Genetic Algorithm (GA), MAICSA overcomes the most serious drawbacks, such as slow convergence rate and “prematurity”. The experimental results show that MAICSA has faster astringency and higher precision than traditional GA, MAGA (Multi-Agent multicast routing based on Genetic Algorithm) and MAIA (Multi-Agent multicast routing based on Immune Algorithm).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Fang Liu
    • 1
  • Yuan Liu
    • 1
  • Xi Chen
    • 1
  • Jin-shi Wang
    • 1
  1. 1.School of Computer Science and EngineeringXidian UniversityXi’anChina

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