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.)
Original language | English |
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Title of host publication | Unknown Host Publication |
Publisher | IEEE |
Pages | 1988-1995 |
Number of pages | 8 |
Volume | 3 |
ISBN (Print) | 0 7803 9363 5 |
Publication status | Published (in print/issue) - Sept 2005 |
Event | 2005 IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, UK - Edinburgh, Scotland, UK Duration: 1 Sept 2005 → … |
Conference
Conference | 2005 IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, UK |
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Period | 1/09/05 → … |