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5th Brazilian Symposium on Neural Networks
Niches Evolving the Positioning of a Mechanical Arm in a 3D Environment
Belo Horizonte, MG, Brazil
December 09-December 11
ISBN: 0-8186-8629-4
Paulo Martins Engel, Universidade Federal do Rio Grande do Sul
Edson Prestes e Silva Júnior, Universidade Federal do Rio Grande do Sul
This paper presents an extension of the traditional Genetic Algorithms, called Cooperative Coevolutionary Genetic Algorithms (CCGA) which is used to evolve the angles of joints of a mechanical arm with N degrees of freedom in a 3D environment. Initially a brief introduction to this new approach will be presented. After this, we show the developed modeling with obtained results. Finally, extensions of this works will be pointed out.
Citation:
Paulo Martins Engel, Edson Prestes e Silva Júnior, "Niches Evolving the Positioning of a Mechanical Arm in a 3D Environment," sbrn, pp.91, 5th Brazilian Symposium on Neural Networks, 1998
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