A model aggregation approach for high-dimensional large-scale optimization

Haowei Wang

doi:10.1016/j.ejor.2025.10.004

A model aggregation approach for high-dimensional large-scale optimization

2025-10-10

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DOI：10.1016/j.ejor.2025.10.004

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• Proposed a novel BO algorithm to solve high-dimensional large-scale optimization. • A model aggregation method combined with data subsampling and subspace embeddings. • Provided the convergence of the proposed algorithm. • Achieved a balance of accuracy and computation efficiency compared to SOTA.

A model aggregation approach for high-dimensional large-scale optimization

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