Cellular Neural Networks-Based Genetic Algorithm for Optimizing the Behavior of an Unstructured Robot

A new learning algorithm for advanced robot locomotion is presented in this paper. This method involves both Cellular Neural Networks (CNN) technology and an evolutionary process based on genetic algorithm (GA) for a learning process. Learning is formulated as an optimization problem. CNN Templates...

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Bibliographic Details
Main Authors: Alireza Fasih, Jean Chamberlain Chedjou, Kyandoghere Kyamakya
Format: Artigo
Language:Inglês
Published: Springer 2009-06-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Cellular Neural Networks
Robot locomotion
Simulation
Genetic Algorithms.
Online Access:https://www.atlantis-press.com/article/1875.pdf
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