Particle swarm optimization based distributed agreement in multi-agent dynamic systems


Gazi V. , Ordonez R.

2014 IEEE Symposium on Swarm Intelligence, SIS 2014, Florida, United States Of America, 9 - 12 December 2014, pp.174-180 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/sis.2014.7011792
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.174-180

Abstract

© 2014 IEEE.In this article we approach the problem of distributed agreement in multi-agent systems using asynchronous particle swarm optimization (PSO) with dynamic neighborhood. The agents are considered as PSO particles which are assumed to have time-dependent neighborhoods, operate asynchronously and incur time delays during information exchange. The performance of the PSO based agreement algorithm is verified using representative numerical simulations.