Large Language Models as Hyper-Heuristics for Combinatorial Optimization

Large Language Models as Hyper-Heuristics for Combinatorial Optimization

2 February 2024

Jinkyoo Park

Papers citing "Large Language Models as Hyper-Heuristics for Combinatorial Optimization"

8 / 8 papers shown

Title
RouteFinder: Towards Foundation Models for Vehicle Routing Problems Federico Berto Chuanbo Hua Nayeli Gast Zepeda André Hottung N. Wouda Leon Lan Kevin Tierney J. Park Jinkyoo Park 43 10 0 21 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives Xuan Wu Di Wang Lijie Wen Yubin Xiao Chunguo Wu Yuesong Wu Chaoyu Yu D. Maskell You Zhou 60 4 0 01 Jun 2024
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding Huijie Tang Federico Berto Zihan Ma Chuanbo Hua Kyuree Ahn Jinkyoo Park 21 6 0 23 Feb 2024
Moco: A Learnable Meta Optimizer for Combinatorial Optimization Tim Dernedde Daniela Thyssens Soren Dittrich Maximilan Stubbemann Lars Schmidt-Thieme 49 5 0 07 Feb 2024
Distance-aware Attention Reshaping: Enhance Generalization of Neural Solver for Large-scale Vehicle Routing Problems Yang Wang Ya-Hui Jia Wei-neng Chen Yi Mei 36 9 0 13 Jan 2024
Large Language Models can Implement Policy Iteration Ethan A. Brooks Logan Walls Richard L. Lewis Satinder Singh LM&Ro OffRL 124 21 0 07 Oct 2022
DevFormer: A Symmetric Transformer for Context-Aware Device Placement Haeyeon Kim Minsu Kim Federico Berto Joungho Kim Jinkyoo Park 43 14 0 26 May 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization Minsu Kim Junyoung Park Jinkyoo Park 65 77 0 26 May 2022