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[ICLR 2026] Generalizable Heuristic Generation Through LLMs with Meta-Optimization

This repository contains the official implementation of MoH (Meta-optimization of Heuristics), a novel framework for generating generalizable heuristics through Large Language Models with meta-optimization techniques.

Paper

Generalizable Heuristic Generation Through LLMs with Meta-Optimization Accepted at ICLR 2026

PDF | arXiv | Project Page


Note: The codebase in currently under construction and it will be released in two weeks.

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[ICLR 2026] Generalizable Heuristic Generation Through LLMs with Meta-Optimization

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