Title :
Niches evolving the positioning of a mechanical arm in a 3D environment
Author :
Engel, Paulo Martins ; e Silva, E.P.
Author_Institution :
Inst. de Inf., Univ. Fed. do Rio Grande do Sul, Porto Alegre, Brazil
Abstract :
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
Keywords :
genetic algorithms; manipulator kinematics; 3D environment; CCGA; GA; cooperative coevolutionary genetic algorithms; mechanical arm positioning; robot arm; Fuzzy logic; Genetic algorithms; Humans; Microwave integrated circuits; Mobile robots; Neural networks; Read only memory; Remotely operated vehicles; Vehicle dynamics;
Conference_Titel :
Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on
Conference_Location :
Belo Horizonte
Print_ISBN :
0-8186-8629-4
DOI :
10.1109/SBRN.1998.731000
