Deep reinforcement learning for combinatorial optimization: Covering salesman problems

K Li, T Zhang, R Wang, Y Wang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
This article introduces a new deep learning approach to approximately solve the covering
salesman problem (CSP). In this approach, given the city locations of a CSP as input, a deep …

Efficient quantum algorithm for solving travelling salesman problem: An IBM quantum experience

K Srinivasan, S Satyajit, BK Behera… - arXiv preprint arXiv …, 2018 - arxiv.org
The famous Travelling Salesman Problem (TSP) is an important category of optimization
problems that is mostly encountered in various areas of science and engineering. Studying …

Scheduling the covering delivery problem in last mile delivery

L Jiang, X Zang, IIY Alghoul, X Fang, J Dong… - Expert Systems with …, 2022 - Elsevier
This study proposes a covering delivery problem (CDP), which has practical applications in
last mile parcel delivery in online shopping. A set of vertices are considered, including …

An artificial bee colony algorithm with variable degree of perturbation for the generalized covering traveling salesman problem

V Pandiri, A Singh - Applied Soft Computing, 2019 - Elsevier
The generalized covering traveling salesman problem is a recently introduced variant of the
traveling salesman problem. Given a set of cities that includes depot, facilities and customer …

A travelling salesman problem with carbon emission reduction in the last mile delivery

L Jiang, H Chang, S Zhao, J Dong, W Lu - IEEe Access, 2019 - ieeexplore.ieee.org
The development of e-commerce has led to a surge in the number of online shopping
parcels. However, given the lack of scale effect, last mile delivery is inefficient, expensive …

A traveling salesman problem with time windows for the last mile delivery in online shopping

L Jiang, M Dhiaf, J Dong, C Liang… - International Journal of …, 2020 - Taylor & Francis
With the fast growth of the parcel volume of online shopping, home delivery (delivering
parcels to customers' homes or workplaces) has accentuated the pressure on last mile …

[PDF][PDF] Anytime Focal Search with Applications.

L Cohen, M Greco, H Ma, C Hernández, A Felner… - IJCAI, 2018 - ijcai.org
Focal search (FS) is a bounded-suboptimal search (BSS) variant of A*. Like A*, it uses an
open list whose states are sorted in increasing order of their f-values. Unlike A*, it also uses …

A highly effective hybrid evolutionary algorithm for the covering salesman problem

Y Lu, U Benlic, Q Wu - Information Sciences, 2021 - Elsevier
Covering salesman problem (CSP) is an extension of the popular traveling salesman
problem (TSP) arising from a number of real-life applications. Given a set of vertices and a …

Bi-objective covering salesman problem with uncertainty

SP Tripathy - Journal of Decision Analytics and Intelligent …, 2023 - jdaic-journal.org
Humanitarian relief transportation and mass fatality management activities are the most
strenuous tasks after a natural or artificial disaster. A feasible and realistic transport model is …

Time constrained maximal covering salesman problem with weighted demands and partial coverage

G Ozbaygin, H Yaman, OE Karasan - Computers & Operations Research, 2016 - Elsevier
In a routing framework, it may not be viable to visit every single customer separately due to
resource limitations or efficiency concerns. In such cases, utilizing the notion of coverage; ie …