no code implementations • 9 Aug 2023 • Zhang-Hua Fu, Sipeng Sun, Jintong Ren, Tianshu Yu, Haoyu Zhang, Yuanyuan Liu, Lingxiao Huang, Xiang Yan, Pinyan Lu
Fair comparisons based on nineteen famous large-scale instances (with 10, 000 to 10, 000, 000 cities) show that HDR is highly competitive against existing state-of-the-art TSP algorithms, in terms of both efficiency and solution quality.
no code implementations • 3 Dec 2021 • Xuwei Tan, Yangming Zhou, Zhang-Hua Fu, Mengchu Zhou
Extensive comparison results are given to show its effectiveness in solving CNP.
1 code implementation • 9 Nov 2021 • Jintong Ren, Jin-Kao Hao, Feng Wu, Zhang-Hua Fu
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 customers to maximize the revenues collected through the visited customers.
1 code implementation • 19 Dec 2020 • 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.
1 code implementation • ICLR 2020 • Zhang-Hua Fu, Kai-Bin Qiu, Meng Qiu, Hongyuan Zha
More precisely, the search process is considered as a Markov decision process (MDP), where a 2-opt local search is used to search within a small neighborhood, while a Monte Carlo tree search (MCTS) method (which iterates through simulation, selection and back-propagation steps), is used to sample a number of targeted actions within an enlarged neighborhood.
no code implementations • 12 Sep 2019 • Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu, Zhe Wang, Xiangjing Lai
Population-based memetic algorithms have been successfully applied to solve many difficult combinatorial problems.
no code implementations • 6 Feb 2014 • 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 tree of minimum total cost.