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Found 2 papers, 1 papers with code
LLM4ED: Large Language Models for Automatic Equation Discovery
The first strategy is to take LLMs as a black-box optimizer and achieve equation self-improvement based on historical samples and their performance.
Rank-Based Learning and Local Model Based Evolutionary Algorithm for High-Dimensional Expensive Multi-Objective Problems
In this work, a novel Classifier-assisted rank-based learning and Local Model based multi-objective Evolutionary Algorithm (CLMEA) is proposed for high-dimensional expensive multi-objective optimization problems.
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