GPU fitness evaluation for GP-GOMEA boosts throughput, improves benchmark results especially on large datasets, and allows reliable regression of large Feynman equations within hours.
arXiv preprint arXiv:2505.01262 (2025)
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Genetic programming evolves interpretable feature sets or full survival tree structures, improving performance over standard induction on two real-world datasets at two tree depths.
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GP-GOMEA with GPU-Based Fitness Evaluations: Design and Performance Analysis
GPU fitness evaluation for GP-GOMEA boosts throughput, improves benchmark results especially on large datasets, and allows reliable regression of large Feynman equations within hours.