Terence Soule
ABSTRACT
Hierarchical control structures for multi-agent systems represent a promising middle ground between fully-distributed systems and centralized control. In this paper we present a developmental approach for evolving hierarchical control structures for large (100-800 member), multi-agent swarms. The results show that this approach can successfully generate control hierarchies that improve the performance of fully distributed swarms and that scale well.
- J. McLurkin and J. Smith. Distributed algorithms for dispersion in indoor environments using a swarm of autonomous mobile robots. In 7th International Symposium on Distributed Autonomous Robotic Systems (DARS). Springer, 2004.Google Scholar
- T. Soule and R.B. Heckendorn. A developmental approach to evolving scalable hierarchies for multi-agent swarms. In Proceedings of the 12th annual conference comp on Genetic and evolutionary computation, pages 1769--1776. ACM, 2010. Google ScholarDigital Library
- Developmental scalable hierarchies for multi-agent swarms
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