La publicación original está disponible en www.interscience.wiley.com
In this article, we build upon a multiagent architecture for landmark-based navigation in unknown environments. In this architecture, each of the agents in the navigation system has a bidding function that is controlled by a set of parameters. We show here the good results obtained by an evolutionary approach that tunes the parameter set values for two navigation tasks.
This work has been partially supported by the Spanish MCYT project QUALNAVEX (DPI2003-05193-C02-02), Dídac Busquets enjoys a CIRIT doctoral scholarship 2000FI-00191.
Peer reviewed