An asynchronous complete method for distributed constraint optimization
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Cooperative negotiation for soft real-time distributed resource allocation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Combinatorial Auction for Resource Allocation in a Distributed Sensor Network
RTSS '05 Proceedings of the 26th IEEE International Real-Time Systems Symposium
Applying the clonal selection principle to find flexible job-shop schedules
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Advances in artificial immune systems
IEEE Computational Intelligence Magazine
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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.