Maximizing adaptive power in neuroevolution

Open Access

Peer-reviewed

Research Article

About the Authors

Paolo Pagliuca

Roles Formal analysis, Investigation, Methodology, Software, Validation, Writing – original draft

Affiliation Institute of Cognitive Sciences and Technologies - National Research Council (CNR), Roma, Italia

Nicola Milano

Contributed equally to this work with: Nicola Milano, Stefano Nolfi

Roles Formal analysis, Investigation

Affiliation Institute of Cognitive Sciences and Technologies - National Research Council (CNR), Roma, Italia

Stefano Nolfi

Contributed equally to this work with: Nicola Milano, Stefano Nolfi

Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

Affiliation Institute of Cognitive Sciences and Technologies - National Research Council (CNR), Roma, Italia

The authors have declared that no competing interests exist.

Neural networks
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Neurons
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Evolutionary algorithms
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Evolutionary genetics
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Real numbers
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Source code
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Evolutionary processes
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Motor neurons
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