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September 10, 2025MathematicsOpen Access

Multi-Objective Batch Energy-Entropy Acquisition Function for Bayesian Optimization

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Authors

HZHangyu ZhuXWXilu Wang

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Overview

Multi-objective batch optimization improves acquisition function efficiency in expensive black-box problems.

Key Points

  • Empirical results show that MOBEEBO improves quality and diversity in batch optimization tasks.
  • MOBEEBO leverages correlations among batch points, enhancing acquisition function performance.
  • Entropy-based methods often fail to address interdependencies but are improved upon in this approach.
  • The proposed method extends current batch bayesian optimization techniques to tackle high-dimensional challenges.

Cite This Study

Zhu et al. (2025) studied this question.

synapsesocial.com/papers/68c198b59b7b07f3a061a0b1https://doi.org/10.3390/math13172894
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