Efficient Constant Optimization for Symbolic Regression with GPU-Accelerated Tree-Based Genetic Programming
A GPU-resident, batched Levenberg--Marquardt solver that optimizes constants across a structurally heterogeneous population of expression trees using a fixed number of population-wide CUDA launches per iteration.
Hao Mao, Xu Liu, Shuai Lu et al.
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