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Evolving Neural Architectures: A Genetic Algorithm Approach to Deep Learning Optimization

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11840541_36openalex-extracted

Adaptive Learning Application of the MDB Evolutionary Cognitive Architecture in Physical Agents

inferredcites →https://doi.org/10.1007/978-1-4614-4463-3openalex-extracted

Handbook of Neuroevolution Through Erlang

inferredcites →https://doi.org/10.1016/j.neucom.2008.10.022openalex-extracted

Using promoters and functional introns in genetic algorithms for neuroevolutionary learning in non-stationary problems

inferredcites →https://doi.org/10.1016/j.softx.2021.100694openalex-extracted

Fast-DENSER: Fast Deep Evolutionary Network Structured Representation

inferredcites →https://doi.org/10.1016/j.swevo.2016.12.002openalex-extracted

A fast hypervolume driven selection mechanism for many-objective optimisation problems

inferredcites →https://doi.org/10.1109/72.572107openalex-extracted

A new evolutionary system for evolving artificial neural networks

inferredcites →https://doi.org/10.1109/cec60901.2024.10611910openalex-extracted

Towards Evolution of Deep Neural Networks through Contrastive Self-Supervised Learning

inferredcites →https://doi.org/10.1145/3520304.3528786openalex-extracted

Accelerating neural architecture exploration across modalities using genetic algorithms

inferredcites →https://doi.org/10.1162/106365602320169811openalex-extracted

Evolving Neural Networks through Augmenting Topologies

inferredcites →https://doi.org/10.1162/artl_a_00071openalex-extracted

An Enhanced Hypercube-Based Encoding for Evolving the Placement, Density, and Connectivity of Neurons

inferredcites →https://doi.org/10.3233/his-2007-4304openalex-extracted

Evolutionary reinforcement learning of artificial neural networks

inferredcites →https://doi.org/10.48550/arxiv.2003.13850openalex-extracted

inferredcites →https://doi.org/10.48550/arxiv.2308.04459openalex-extracted

MCTS guided Genetic Algorithm for optimization of neural network weights

inferredcites →https://doi.org/10.48550/arxiv.2308.13099openalex-extracted

Hybrid Genetic Algorithm and Hill Climbing Optimization for the Neural Network

What points at this work

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inferred← citeshttps://doi.org/10.1109/access.2025.3575107openalex-snapshot

Analysis of IoT-Collected Radish Growth Data Using Deep Neural Networks

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