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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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Artificial developmentArtificial lifeArtificial neural networkArtificial neuron

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
An adaptive neuroevolution-based hyperheuristic
According to the No-Free-Lunch theorem, an algorithm that performs efficiently on any type of problem does not exist. In this… 
2017
2017
Advanced control algorithms for mobile robot
Among the issues discussed in this article the main problem concerns a neuro-fuzzy system (ANFIS) for controlling a mobile robot… 
2013
2013
Interval-valued differential evolution for evolving neural networks with interval weights and biases
The ordinary differential evolution (DE) algorithm employs real-valued vectors as genotypes. The author previously proposed an… 
2010
2010
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 7th International Conference, CPAIOR 2010, Bologna, Italy, June 14-18, 2010. Proceedings
2009
2009
NEUROEVOLUTION OF AUTO-TEACHING ARCHITECTURES
This paper explores the idea that auto-teaching neural networks with evolved selfsupervision signals can lead to improved… 
2009
2009
Neuro-Evolution Methods for Gathering and Collective Construction
This paper evaluates the Collective Neuro-Evolution (CONE) method, comparative to a related controller design method, in a… 
2008
2008
Measuring the Genotype Diversity of Evolvable Neural Networks
Studying the diversity of genetic algorithms is the most important topic to prevent the problem of premature convergence of the… 
2008
2008
Towards efficient online reinforcement learning using neuroevolution
For many complex Reinforcement Learning (RL) problems with large and continuous state spaces, neuroevolution has achieved… 
2005
2005
Evolving processing speed asymmetries and hemispheric interactions in a neural network model
2002
2002
Numerical optimization with neuroevolution
Neuroevolution techniques have been successful in many sequential decision tasks, such as robot control and game playing. This… 
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