Self-Nonself Discrimination in a Computer
SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
Distributed algorithms for partitioning a swarm of autonomous mobile robots
Theoretical Computer Science
A mathematical model, implementation and study of a swarm system
Robotics and Autonomous Systems
Multiobjective optimization using ideas from the clonal selection principle
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Brief paper: Decentralized coordination of autonomous swarms using parallel Gibbs sampling
Automatica (Journal of IFAC)
Swarm behavior control of mobile multi-robots with wireless sensor networks
Journal of Network and Computer Applications
Clonal selection with immune dominance and anergy based multiobjective optimization
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
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In this paper, we first investigate the fundamentals of the immune system and the principles of the antibodies and how antibodies work cooperatively to achieve swarm coordination and hence a successful immune response. Based on the study, we propose a multi-agent cooperative operation strategy for the immune system based on the immune network theory. In order to achieve successful swarm coordination, we design each agent to select its favorable strategy according to distributed sensing through local communication. Experiments show that this Immunology-inspired Cooperative Operation strategy performs well even under dynamically changing environment. Its effectiveness is also verified by numerical simulation on multiple unmanned aerial vehicle (UAV) coordination.