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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 development
Artificial life
Artificial neural network
Artificial neuron
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
An adaptive neuroevolution-based hyperheuristic
Etor Arza
,
Josu Ceberio
,
Aritz Pérez
,
Ekhine Irurozki
GECCO Companion
2020
Corpus ID: 220409299
According to the No-Free-Lunch theorem, an algorithm that performs efficiently on any type of problem does not exist. In this…
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2017
2017
Advanced control algorithms for mobile robot
A. Nawrocka
,
M. Nawrocki
,
A. Kot
International Conference on Innovative Computing…
2017
Corpus ID: 37314029
Among the issues discussed in this article the main problem concerns a neuro-fuzzy system (ANFIS) for controlling a mobile robot…
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2013
2013
Interval-valued differential evolution for evolving neural networks with interval weights and biases
H. Okada
International Workshop on Computational…
2013
Corpus ID: 18246853
The ordinary differential evolution (DE) algorithm employs real-valued vectors as genotypes. The author previously proposed an…
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2012
2012
Neuroevolution with manifold learning for playing Mario
H. Handa
International Journal of Bio-Inspired Computation…
2012
Corpus ID: 22375326
Evolutionary learning of neural networks, i.e., neuroevolution, has shown to play an important role in agent constitutions. It…
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Review
2012
Review
2012
Multiagent Learning through Neuroevolution
R. Miikkulainen
,
E. Feasley
,
+4 authors
Wesley Tansey
IEEE World Congress on Computational Intelligence
2012
Corpus ID: 18626088
Neuroevolution is a promising approach for constructing intelligent agents in many complex tasks such as games, robotics, and…
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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
Andrea Lodi
,
M. Milano
,
P. Toth
Integration of AI and OR Techniques in Constraint…
2010
Corpus ID: 36921314
2009
2009
NEUROEVOLUTION OF AUTO-TEACHING ARCHITECTURES
Edward Robinson
,
J. Bullinaria
2009
Corpus ID: 15804492
This paper explores the idea that auto-teaching neural networks with evolved selfsupervision signals can lead to improved…
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2008
2008
Measuring the Genotype Diversity of Evolvable Neural Networks
C. Regazzoni
,
I. Talkhan
,
A. Atiya
2008
Corpus ID: 15327101
Studying the diversity of genetic algorithms is the most important topic to prevent the problem of premature convergence of the…
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2005
2005
Evolving processing speed asymmetries and hemispheric interactions in a neural network model
Alexander Grushin
,
J. Reggia
Neurocomputing
2005
Corpus ID: 524652
2002
2002
Numerical optimization with neuroevolution
B. Greer
,
H. Hakonen
,
R. Lahdelma
,
R. Miikkulainen
Proceedings of the Congress on Evolutionary…
2002
Corpus ID: 14752750
Neuroevolution techniques have been successful in many sequential decision tasks, such as robot control and game playing. This…
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