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LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms

The LLaMEA framework has been extended to automatically generate complete multi-objective Bayesian optimization algorithms using large language models as evolutionary operators.

Impact
40/100
Current rank score
1.67
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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