constraint-optimization

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papersSEP 10 04:00 UTC

Paper introduces constraint-aware discrete black-box optimization using tensor decomposition

A new arXiv preprint tackles optimization of costly-to-evaluate functions over discrete domains under constraints. The proposed method incorporates tensor decomposition into sequential model-based optimization, using surrogate models to improve sample efficiency.

optimization/machine-learning/surrogate-models/research