A Symbiosis Algorithm for Robotic Control

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 (20 refs.)
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages1988-1995
Number of pages8
Volume3
Publication statusPublished - Sep 2005
Event2005 IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, UK - Edinburgh, Scotland, UK
Duration: 1 Sep 2005 → …

Conference

Conference2005 IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, UK
Period1/09/05 → …

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Robotics
Kinematics

Cite this

Ward, K., Siddique, M., Maguire, L., & McGinnity, TM. (2005). A Symbiosis Algorithm for Robotic Control. In Unknown Host Publication (Vol. 3, pp. 1988-1995)
Ward, Kevin ; Siddique, Mia ; Maguire, Liam ; McGinnity, TM. / A Symbiosis Algorithm for Robotic Control. Unknown Host Publication. Vol. 3 2005. pp. 1988-1995
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abstract = "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 (20 refs.)",
author = "Kevin Ward and Mia Siddique and Liam Maguire and TM McGinnity",
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Ward, K, Siddique, M, Maguire, L & McGinnity, TM 2005, A Symbiosis Algorithm for Robotic Control. in Unknown Host Publication. vol. 3, pp. 1988-1995, 2005 IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, UK, 1/09/05.

A Symbiosis Algorithm for Robotic Control. / Ward, Kevin; Siddique, Mia; Maguire, Liam; McGinnity, TM.

Unknown Host Publication. Vol. 3 2005. p. 1988-1995.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Siddique, Mia

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AB - 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 (20 refs.)

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Ward K, Siddique M, Maguire L, McGinnity TM. A Symbiosis Algorithm for Robotic Control. In Unknown Host Publication. Vol. 3. 2005. p. 1988-1995