Evolving a multiagent system for landmark‐based robot navigation

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. © 2005 Wiley Periodicals, Inc. Int J Int Syst 20: 523–539, 2005.

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