2011 | OriginalPaper | Buchkapitel
An AIS-Based Mathematical Programming Method
verfasst von : Steven Y. P. Lu, Henry Y. K. Lau
Erschienen in: Artificial Immune Systems
Verlag: Springer Berlin Heidelberg
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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.