PhD Thesis: Neuroevolution Trajectory Networks (NTNs)

Neuroevolution refers to using evolutionary computation to design and optimize neural networks. This thesis entitled Neuroevolution trajectory networks: illuminating the evolution of artificial neural networks, focuses on explainability in neuroevolution. Several neuroevolution algorithms and frameworks have been proposed, which underscores the rising need for methods to evaluate and understand them and their optimisation dynamics.

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Publication Details

Journal
ACM SIGEVOlution
Published
2024-09-01
DOI
https://doi.org/10.1145/3717408.3717411
Primary Topic
Evolutionary Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

PhD Thesis: Neuroevolution Trajectory Networks (NTNs)

Stefano Sarti
ACM SIGEVOlution
Evolutionary Algorithms and Applications
article

PhD Thesis: Neuroevolution Trajectory Networks (NTNs)

Stefano Sarti
article en

Abstract

Neuroevolution refers to using evolutionary computation to design and optimize neural networks. This thesis entitled Neuroevolution trajectory networks: illuminating the evolution of artificial neural networks, focuses on explainability in neuroevolution. Several neuroevolution algorithms and frameworks have been proposed, which underscores the rising need for methods to evaluate and understand them and their optimisation dynamics.

ACM SIGEVOlutionVol. 17(3)
University of Stirling (GB)
Openalex Percentile: Top 75%
Evolutionary Algorithms and Applications
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PhD Thesis: Neuroevolution Trajectory Networks (NTNs) — Stefano Sarti · ACM SIGEVOlution (2024) | TGRS Research Map | TGRS