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cs.NE2026
CDEoH: Category-Driven Automatic Algorithm Design With Large Language Models
Yu-Nian Wang, Shen-Huan Lyu, Ning Chen +3
With the rapid advancement of large language models (LLMs), LLM-based heuristic search methods have demonstrated strong capabilities in automated algorithm generation. However, the…
cs.NE2026
Evolving Interdependent Operators with Large Language Models for Multi-Objective Combinatorial Optimization
Junhao Qiu, Xin Chen, Liang Ge +3
Neighborhood search operators are critical to the performance of Multi-Objective Evolutionary Algorithms (MOEAs) and rely heavily on expert design. Although recent LLM-based Automa…