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Co-evolutionary learning and hierarchical fuzzy control for the inverted pendulum
conference contributionposted on 2017-12-06, 00:00 authored by Russel StonierRussel Stonier, N Young
In this paper we will examine the problem of learning a two layer hierarchical fuzzy controller for the control of the inverted pendulum (with nonlinear dynamics). The fuzzy rules are learnt using cooperative co-evolution, whereby two distinct evolutionary populations are used: one defining the first fuzzy layer and the other defining the second fuzzy layer. We compare the results from the co-evolutionary algorithm with the results from a classical evolutionary algorithm.
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
Parent TitleProceedings of the 2003 Congress on Evolutionary Computation, CEC 2003 : Canberra, Australia, 8-12 December, 2003.
Number of Pages7
Place of PublicationPiscataway, NJ
External Author AffiliationsFaculty of Informatics and Communication;