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Exploring the Improvement of Evolutionary Computation via Large Language Models
Evolutionary computation (EC), as a powerful optimization algorithm, has been applied across various domains.
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability
Deep neural network image classifiers are known to be susceptible not only to adversarial examples created for them but even those created for others.
GP-RVM: Genetic Programing-based Symbolic Regression Using Relevance Vector Machine
The solution produced by GP-RVM is a sparse Bayesian linear model of the coefficients of many non-linear functions.
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