A generative optimization method that jointly samples discrete and continuous design variables outperforms decoupled skeleton-then-optimize baselines in sample efficiency across bitstring, decision-tree, and symbolic regression tasks.
mark’s domain (a, b) and increasing the number of data points on which an expression is evaluated
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DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
A generative optimization method that jointly samples discrete and continuous design variables outperforms decoupled skeleton-then-optimize baselines in sample efficiency across bitstring, decision-tree, and symbolic regression tasks.