1 citations · 1 across the 5 of their papers we have counts for
5 papers
Speeding up Local Optimization in Vehicle Routing with Tensor-based GPU Acceleration
Zhenyu Lei, Jin-Kao Hao, Qinghua Wu
Local search plays a central role in many effective heuristic algorithms for the vehicle routing problem (VRP) and its variants. However, neighborhood exploration is known to be co…
An efficient optimization model and tabu search-based global optimization approach for continuous p-dispersion problem
Xiangjing Lai, Zhenheng Lin, Jin-Kao Hao +1
Continuous p-dispersion problems with and without boundary constraints are NP-hard optimization problems with numerous real-world applications, notably in facility location and cir…
A reinforcement learning guided hybrid evolutionary algorithm for the latency location routing problem
Yuji Zou, Jin-Kao Hao, Qinghua Wu
The latency location routing problem integrates the facility location problem and the multi-depot cumulative capacitated vehicle routing problem. This problem involves making simul…
Learning-guided iterated local search for the minmax multiple traveling salesman problem
Pengfei He, Jin-Kao Hao, Jinhui Xia
The minmax multiple traveling salesman problem involves minimizing the longest tour among a set of tours. The problem is of great practical interest because it can be used to formu…
A Multi-population Integrated Approach for Capacitated Location Routing
Pengfei He, Jin-Kao Hao, Qinghua Wu
The capacitated location-routing problem involves determining the depots from a set of candidate capacitated depot locations and finding the required routes from the selected depot…