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A symbiosis algorithm for robotic control

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4 Author(s)
Ward, K.M. ; Sch. of Comput. & Intelligent Syst., Ulster Univ. at Magee, Derry, UK ; Siddique, M.N.H. ; Maguire, L.P. ; McGinnity, T.M.

An algorithm inspired by the biological phenomenon of symbiosis is presented in this paper. The genetic diversity obtained from the creation of symbiotic relationships is investigated and the symbiosis algorithm is applied to a robotic forward kinematics control problem. Compared with other evolutionary optimisation techniques, the symbiosis algorithm is shown to be an effective paradigm in discovering optimal solutions. Genetic diversity was found to be maintained in the absence of conventional genetic operators.

Published in:

Evolutionary Computation, 2005. The 2005 IEEE Congress on  (Volume:3 )

Date of Conference:

2-5 Sept. 2005

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