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Neuroevolution

Neuroevolution, or neuro-evolution, is a form of machine learning that uses evolutionary algorithms to train artificial neural networks. It is most… 
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Papers overview

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2020
2020
According to the No-Free-Lunch theorem, an algorithm that performs efficiently on any type of problem does not exist. In this… 
2017
2017
Among the issues discussed in this article the main problem concerns a neuro-fuzzy system (ANFIS) for controlling a mobile robot… 
2013
2013
The ordinary differential evolution (DE) algorithm employs real-valued vectors as genotypes. The author previously proposed an… 
2012
2012
Evolutionary learning of neural networks, i.e., neuroevolution, has shown to play an important role in agent constitutions. It… 
Review
2012
Review
2012
Neuroevolution is a promising approach for constructing intelligent agents in many complex tasks such as games, robotics, and… 
2009
2009
This paper explores the idea that auto-teaching neural networks with evolved selfsupervision signals can lead to improved… 
2008
2008
Studying the diversity of genetic algorithms is the most important topic to prevent the problem of premature convergence of the… 
2002
2002
Neuroevolution techniques have been successful in many sequential decision tasks, such as robot control and game playing. This…