Optimizing Patrolling Operations with Multiple Traveling Salesmen Problem: A Formulation and Simulation Approach

Authors

  • Xinyi Zhang

DOI:

https://doi.org/10.54691/bcpbm.v44i.4980

Keywords:

Linear optimization; operation research; M-TSP problem; integer program.

Abstract

Integer optimization program is a useful tool for solving realistic problems especially in assigning tasks problems. Traveling salesman (TSP) problem is one of the most classic subjects under integer program. This paper mainly focuses on the multiple traveling salesmen (MTSP) problem, which introduces two ways of formulations for the MTSP problem. The first program is formulated by tracking the traveling direction for each ‘salesperson’ when they are visiting different locations. On the contrary, the second program does not track the moving direction for salesmen and instead, which only tracks which edge between two locations is assigned to a certain salesperson. The two formulations do share some similarities and have some differences. This study briefly compares the complexity of the two models by counting the number of constraints for two formulations as well. In addition to a simulation test based on the two formulated optimization program, the limitations regarding the two formulations are discussed. According to the analysis, TSP is a classic problem under optimization, hence MTSP is meaningful for companies especially in assigning multiple tasks to workers or machines.

Downloads

Download data is not yet available.

References

Voigt B F. der Handlungsreisende, wie er sein soll und was er zu thun hat, um Aufträge zu erhalten und eines glücklichen Erfolgs in seinen Geschäften gewiss zu sein. Commis-Voageur, Ilmenau, 1831: 50.

Flood M, Savage L J. A Game theoretic study of the tactics of area defense. RAND Research Memorandum, 1948, 51.

Khanra A, Maiti M K, Maiti M. Profit maximization of TSP through a hybrid algorithm. Computers & Industrial Engineering, 2015, 88: 229-236.

Su F, Kong L, Wang H, et al. Modeling and application for rolling scheduling problem based on TSP. Applied Mathematics and Computation, 2021, 407: 126333.

Kumar R, Luo Z. Optimizing the operation sequence of a chip placement machine using TSP models. IEEE Transactions on Electronics Packaging Manufacturing, 2003, 26(1): 14-21.

Wex F, Schryen G, Feuerriegel S, et al. Emergency response in natural disaster management: Allocation and scheduling of rescue units. European Journal of Operational Research, 2014, 235(3): 697-708.

Gonzalez-Longatt F M. Optimal offshore wind farms' collector design based on the multiple travelling salesman problem and genetic algorithm. 2013 IEEE Grenoble Conference. IEEE, 2013: 1-6.

Wang C, Lan H, Saldanha-da-Gama F, et al. On optimizing a multi-mode last-mile parcel delivery system with vans, truck and drone. Electronics, 2021, 10(20): 2510.

Homepage of Gurobi, Retrieved from: https://www.gurobi.com/

IBM documentation, Retrieved from: https://www.ibm.com/docs/en/icos/12.9.0?topic=cplex-lp-file-format-algebraic-representation

Downloads

Published

2023-04-27

How to Cite

Zhang, X. (2023). Optimizing Patrolling Operations with Multiple Traveling Salesmen Problem: A Formulation and Simulation Approach. BCP Business & Management, 44, 933-937. https://doi.org/10.54691/bcpbm.v44i.4980