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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

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Derivative-based optimization techniques such as Stochastic Gradient Descent has been wildly successful in training deep neural… 
2016
2016
Ever increasing energy demands are driving the development of high-efficiency power generation technologies such as direct-fired… 
2015
2015
Climate change issues are continuously on the rise and the need to build models and software systems for management of natural… 
2014
2014
Article history: Received 11 July 2014 Received in revised form 25 August 2014 Accepted 28 September 2014 Available online 20… 
2012
2012
Machine learning (ML) games such as NERO incorporate human-guided ML methods such as real time neuroevolution (NE) as an integral… 
2011
2011
This paper presents a search-based approach to generating game content that satisfies both gameplay requirements and user… 
2007
2007
Image quality assessment is a complex problem due to subjective nature of human visual perception. One of possible ways to take… 
2007
2007
Resource scheduling problems with incomplete information and environment changes have been studied for decades. The vast majority… 
2006
2006
Contemplating the development of the field of evolutionary computation (EC), where most basic concepts are borrowed from nature…