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cs.AI2026
LLM-Driven Co-Evolutionary Automated Heuristic Design for Bi-Component Coupled Combinatorial Optimization
Mingen Kuang, Xudong Deng, Xi Lin +3
While Large Language Models (LLMs) have recently shown promise in Automated Heuristic Design (AHD), existing methods typically generate and evolve heuristics as a single operator o…
cs.AI2026
TIDE: Tuning-Integrated Dynamic Evolution for LLM-Based Automated Heuristic Design
Chentong Chen, Mengyuan Zhong, Ye Fan +2
Although Large Language Models have advanced Automated Heuristic Design, treating algorithm evolution as a monolithic text generation task overlooks the coupling between discrete a…
cs.CL2026
MIRROR: A Multi-Agent Framework with Iterative Adaptive Revision and Hierarchical Retrieval for Optimization Modeling in Operations Research
Yifan Shi, Jiayi Wang, Minyi Wu +3
Operations Research (OR) relies on expert-driven modeling--a slow and fragile process ill-suited to novel scenarios. While large language models (LLMs) can automatically translate…