3 papers
cs.AI2026
SpecAHD: Localize to Specialize for Automated Heuristic Design in Large-Scale Routing Problems
Kezhao Lai, Yutao Lai, Hai-Lin Liu
LLM-based automated heuristic design (AHD) typically scores executable programs on complete instances or within fixed solver components. In large-scale routing problems, localized…
cs.LG2026
CoAction: Cross-task Correlation-aware Pareto Set Learning
Xinyue Chen, Yingxuan Liang, Yiqin Huang +3
Pareto set learning (PSL) is an emerging paradigm in multi-objective optimization that trains neural networks to map preference vectors to Pareto optimal solutions. However, existi…
cs.LG2026
Beyond the Node: Clade-level Selection for Efficient MCTS in Automatic Heuristic Design
Kezhao Lai, Yutao Lai, Hai-Lin Liu
While Monte Carlo Tree Search (MCTS) shows promise in Large Language Model (LLM) based Automatic Heuristic Design (AHD), it suffers from a critical over-exploitation tendency under…