학술논문

A symbiosis algorithm for robotic control
Document Type
Conference
Source
2005 IEEE Congress on Evolutionary Computation Evolutionary Computation Evolutionary Computation, 2005. The 2005 IEEE Congress on. 3:1988-1995 Vol. 3 2005
Subject
Computing and Processing
Symbiosis
Robot control
Biological cells
Genetic mutations
Evolution (biology)
Organisms
Intelligent systems
Intelligent robots
Kinematics
Systems engineering and theory
symbiotic composition
evolutionary computing
robot arm kinematics
Language
ISSN
1089-778X
1941-0026
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.