Neuro-Evolution Using Recombinational Algorithms and Embryogenesis for Robotic Control
Control tasks involving dramatic nonlinearities, such as decision making, can be challenging for classical design methods. However, autonomous, stochastic design methods such as evolutionary computation have proved effective. In particular, genetic algorithms that create designs via the application...
Similar Items
-
Neuro-Evolution of Mobile Robot Controller
by: Ivan Sekaj, et al.
Published: (2019-06-01) -
Evolution of Neuro-Controllers for Robots' Alignment using Local Communication
by: Alvaro Gutierrez, et al.
Published: (2009-03-01) -
Evolution of Neuro-Controllers for Robots' Alignment using Local Communication
by: Álvaro Gutiérrez, et al.
Published: (2009-03-01) -
Neuro-fuzzy control in tele-robotics
by: Po-ngaen, Watcharin
Published: (2006) -
Evolution of robotic controllers using genetic algorithms
by: Beckerleg, Mark
Published: (2012)