Neuroevolution

Neuroevolution, or neuro-evolution, is a form of machine learning that uses evolutionary algorithms to train artificial neural networks. It is most… (More)
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Topic mentions per year

Topic mentions per year

1996-2018
010203019962018

Papers overview

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2013
2013
This chapter discusses the numerous reasons for why one might wish to<lb>study the subject of neuroevolution. I cover a number of… (More)
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2013
2013
An important goal for the machine learning (ML) community is to create approaches that can learn solutions with human-level… (More)
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2010
2010
Neuroevolution is a method for modifying neural network weights, topologies, or ensembles in order to learn a specific task… (More)
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2009
2009
Article history: Received 30 April 2009 Available online xxxx 
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Review
2008
Review
2008
Artificial neural networks (ANNs) are applied to many real-world problems, ranging from pattern classification to robot control… (More)
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Highly Cited
2006
Highly Cited
2006
Many complex control problems are not amenable to traditional controller design. Not only is it difficult to model real systems… (More)
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Highly Cited
2005
Highly Cited
2005
In most modern video games, character behavior is scripted; no matter how many times the player exploits a weakness, that… (More)
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2005
2005
Feature selection is the process of finding the set of inputs to a machine learning algorithm that will yield the best… (More)
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Highly Cited
2003
Highly Cited
2003
Finless rockets are more efficient than finned designs, but are too unstable to fly unassisted. These rockets require an active… (More)
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Highly Cited
2002