Search Results for author: Qinghua Wu

Found 3 papers, 1 papers with code

A reinforcement learning guided hybrid evolutionary algorithm for the latency location routing problem

1 code implementation21 Mar 2024 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.

reinforcement-learning

A Multi-population Integrated Approach for Capacitated Location Routing

no code implementations14 Mar 2024 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 depots to serve a set of customers whereas minimizing a cost function that includes the cost of opening the chosen depots, the fixed utilization cost per vehicle used, and the total cost (distance) of the routes.

Solving the Clustered Traveling Salesman Problem via TSP methods

no code implementations10 Jul 2020 Yongliang Lu, Jin-Kao Hao, Qinghua Wu

The Clustered Traveling Salesman Problem (CTSP) is a variant of the popular Traveling Salesman Problem (TSP) arising from a number of real-life applications.

Traveling Salesman Problem

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