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A Symbiosis Algorithm for Robotic Control

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Ward, Kevin, Siddique, Mia, Maguire, Liam and McGinnity, TM (2005) A Symbiosis Algorithm for Robotic Control. In: 2005 IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, UK , Edinburgh, Scotland, UK. IEEE. Vol 3 8 pp. [Conference contribution]

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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.)

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:11466
Deposited By:Professor Martin McGinnity
Deposited On:09 Mar 2010 15:42
Last Modified:09 May 2011 09:42

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