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Evolving a multiagent system for landmark-based robot navigation
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DOI：10.1002/int.20079.png)
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Abstract
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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. (c) 2005 Wiley Periodicals, Inc.
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MOBILE-ROBOT
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