Jun 21, 2018 · We show that an evolutionary algorithm saves training time during the network architecture optimization, if learned network weights are ...
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It is shown that an evolutionary algorithm saves training time during the network architecture optimization, if learned network weights are inherited over ...
Aug 21, 2018 · Lamarckian evolution describes the idea that traits acquired over the lifetime of an individual are inherited to its offspring [14]. While ...
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We show that an evolutionary algorithm saves training time during the network architecture optimization, if learned network weights are inherited over ...
Sep 11, 2024 · We show that an evolutionary algorithm saves training time during the network architecture optimization, if learned network weights are ...
Oct 29, 2024 · This paper introduces LCoDeepNEAT, an instantiation of Lamarckian genetic algorithms, which extends the foundational principles of the CoDeepNEAT framework.
Bibliographic details on Lamarckian Evolution of Convolutional Neural Networks.
Jun 21, 2018 · We show that an evolutionary algorithm saves training time during the network architecture optimization, if learned network weights are ...
We show that an evolutionary algorithm saves training time during the network architecture optimization, if learned network weights are inherited over ...
Developing Convolutional Neural Networks using a Novel ...
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Oct 30, 2024 · The proposed Lamarckian co-evolutionary approach outperformed standalone genetic algorithms and reinforcement learning-based methods for ...