Design of Artificial Neural Networks Using a Memetic Pareto Evolutionary Algorithm Using as Objectives Entropy versus Variation Coefficient

2009 ◽  
Author(s):  
J.C. Fernández ◽  
C. Hervás ◽  
F.J. Martínez ◽  
M. Cruz
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Evolutionary Algorithm ◽  
Variation Coefficient ◽  
Artificial Neural

scholarly journals Genetic Programming of an Artificial Neural Network for Robust Control of a 2-D Path Following Robot

2008 ◽  
Author(s):  
Anthony M. Roy ◽  
Erik K. Antonsson ◽  
Andrew A. Shapiro
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Artificial Neural Networks ◽  
Robust Control ◽  
Genetic Programming ◽  
Evolutionary Algorithm ◽  
Controller Design ◽  
Path Following ◽  
Artificial Neural

Genetic Programs that have phenotypes created by the application of genotypes comprising rules are robust and highly scalable. Such encodings are useful for complex applications such as controller design. This paper outlines an evolutionary algorithm capable of creating a controller for 2 DOF, path following robot. The controllers are embodied by Artificial Neural Networks capable of full functionality despite multiple failures.

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