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Helan Liang

2 accepted papers

2024

GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time

AAAI 2024technical

The recent end-to-end neural solvers have shown promise for small-scale routing problems but suffered from limited real-time scaling-up performance. This paper proposes GLOP (Global and Local Optimization Policies), a unified hierarchical framework that efficiently scales toward large-scale routing…

2023

DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

NeurIPS 2023poster

Ant Colony Optimization (ACO) is a meta-heuristic algorithm that has been successfully applied to various Combinatorial Optimization Problems (COPs). Traditionally, customizing ACO for a specific problem requires the expert design of knowledge-driven heuristics. In this paper, we propose DeepACO, a…