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Sep 2026

Differentiable Genetic Programming for High-dimensional Symbolic Regression.

Symbolic Regression (SR) aims to uncover hidden relationships within data by generating mathematical expressions, offering a pathway toward interpretable machine learning. Genetic Programming (GP) has traditionally dominated SR due to its flexibility in evolving expression trees. However, as the dimensionality of SR pr...

Xiao-Tian Song, Peng Zeng, Andrew Lensen et al. · 0 citations
Book Open access Jul 2026

When Fitness Is Cheap: Pareto-Based Evolutionary Optimisation for Lightweight Neural Architectures

SWAP-Lite is proposed, a Pareto-guided evolutionary algorithm that maintains an explicit archive of non-dominated solutions over representational capacity and deployment cost, yielding an anytime optimiser that exposes budget-feasible solutions throughout the search.

Jingyue Cong, Kai Wei, Yameng Peng et al. · 0 citations

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