most citedPath Relinking for Bandwidth Coloring Problem

5 citations · 12 across the 5 of their papers we have counts for

collaborators

10 papers

cs.NE2024

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…

cs.NE20241 cited

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…

cs.AI2024

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…

math.OC2024

Utilizing Graph Sparsification for Pre-processing in Maxcut QUBO Solver

Vorapong Suppakitpaisarn, Jin-Kao Hao

We suggest employing graph sparsification as a pre-processing step for maxcut programs using the QUBO solver. Quantum(-inspired) algorithms are recognized for their potential effic…

cs.DS20231 cited

A double-decomposition based parallel exact algorithm for the feedback length minimization problem

Zhen Shang, Jin-Kao Hao, Fei Ma

Product development projects usually contain many interrelated activities with complex information dependences, which induce activity rework, project delay and cost overrun. To red…

cs.DM2016

An iterated local search algorithm for the minimum differential dispersion problem

Yangming Zhou, Jin-Kao Hao

Given a set of elements separated by a pairwise distance matrix, the minimum differential dispersion problem (Min-Diff DP) aims to identify a subset of m elements (m < n) such…