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.
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Lu, S.Y.P., Lau, H.Y.K. (2011). An AIS-Based Mathematical Programming Method. In: Liò, P., Nicosia, G., Stibor, T. (eds) Artificial Immune Systems. ICARIS 2011. Lecture Notes in Computer Science, vol 6825. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22371-6_16
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DOI: https://doi.org/10.1007/978-3-642-22371-6_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22370-9
Online ISBN: 978-3-642-22371-6
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