activity
20142023
most citedGeneralize a Small Pre-trained Model to Arbitrarily Large TSP Instances

22 citations · 41 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2023★ 2 cited

A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem

Zhang-Hua Fu, Sipeng Sun, Jintong Ren +6

For prohibitively large-scale Travelling Salesman Problems (TSPs), existing algorithms face big challenges in terms of both computational efficiency and solution quality. To addres…

cs.LG2023

Efficient Training of Multi-task Neural Solver for Combinatorial Optimization

Chenguang Wang, Zhang-Hua Fu, Pinyan Lu +1

Efficiently training a multi-task neural solver for various combinatorial optimization problems (COPs) has been less studied so far. Naive application of conventional multi-task le…

cs.DS2022

A Partition-and-Merge Algorithm for Solving the Steiner Tree Problem in Large Graphs

Ming Sun, Xinyu Wu, Yi Zhou +2

The Steiner tree problem aims to determine a minimum edge-weighted tree that spans a given set of terminal vertices from a given graph. In the past decade, a considerable number of…

cs.LG2021★ 1 cited

Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness

Xuwei Tan, Yangming Zhou, MengChu Zhou +1

Detecting critical nodes in sparse graphs is important in a variety of application domains, such as network vulnerability assessment, epidemic control, and drug design. The critica…

cs.NE2021★ 13 cited

An effective hybrid search algorithm for the multiple traveling repairman problem with profits

Jintong Ren, Jin-Kao Hao, Feng Wu +1

As an extension of the traveling repairman problem with profits, the multiple traveling repairman problem with profits consists of multiple repairmen who visit a subset of all cust…

cs.LG2020★ 22 cited

Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances

Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha

For the traveling salesman problem (TSP), the existing supervised learning based algorithms suffer seriously from the lack of generalization ability. To overcome this drawback, thi…

cs.NE2019★ 2 cited

Variable Population Memetic Search: A Case Study on the Critical Node Problem

Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu +2

Population-based memetic algorithms have been successfully applied to solve many difficult combinatorial problems. Often, a population of fixed size was used in such algorithms to…

cs.DS2014★ 1 cited

A Three-Phase Search Approach for the Quadratic Minimum Spanning Tree Problem

Zhang-Hua Fu, Jin-Kao Hao

Given an undirected graph with costs associated with each edge as well as each pair of edges, the quadratic minimum spanning tree problem (QMSTP) consists of determining a spanning…