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An AIS-Based Mathematical Programming Method

  • Steven Y. P. Lu
  • Henry Y. K. Lau
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6825)

Abstract

This paper developed an integrated algorithm for the general multi-agent coordination problem in a networked system that is featured by (1) no top-level coordinator; (2) subsystems operate as cooperative units. Through the mapping of such a networked system with human immune system which maintains a set of immune effectors with optimal concentration in the human body through a network of stimulatory and suppressive interactions, we designed a cooperative interaction scheme for a set of intelligent solvers, solving those sub-problems resulted from relaxing complicated constraints in a general multi-agent coordination problem. Performance was investigated by solving a resource allocation problem in distributed sensor networks.

Keywords

Networked system Lagrangian Relaxation Artificial Immune Systems Stimulatory and Suppressive Interactions 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Steven Y. P. Lu
    • 1
  • Henry Y. K. Lau
    • 2
  1. 1.Haitong International Securities Group LimitedHong Kong
  2. 2.The University of Hong KongHong Kong

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