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GPS: A New TSP Formulation for Its Generalizations Type QUBO
| Content Provider | MDPI |
|---|---|
| Author | Gonzalez-Bermejo, Saul Alonso-Linaje, Guillermo Atchade-Adelomou, Parfait |
| Copyright Year | 2022 |
| Description | We propose a new Quadratic Unconstrained Binary Optimization (QUBO) formulation of the Travelling Salesman Problem (TSP), with which we overcame the best formulation of the Vehicle Routing Problem (VRP) in terms of the minimum number of necessary variables. After, we will present a detailed study of the constraints subject to the new TSP model and benchmark it with MTZ and native formulations. Finally, we will test whether the correctness of the formulation by entering it into a QUBO problem solver. The solver chosen is a D-Wave_2000Q6 quantum computer simulator due to the connection between Quantum Annealing and QUBO formulations. |
| Starting Page | 416 |
| e-ISSN | 22277390 |
| DOI | 10.3390/math10030416 |
| Journal | Mathematics |
| Issue Number | 3 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-01-28 |
| Access Restriction | Open |
| Subject Keyword | Mathematics Operations Research and Management Science Quantum Computing Quantum Annealing Combinatorial Optimization Qubo Tsp Vrp |
| Content Type | Text |
| Resource Type | Article |
