Research output per year
Research output per year
Description
# QOPTLib QOPTLib is a quantum computing oriented benchmark for combinatorial optimization. QOPTLib is comprised of 40 different instances, equally distributed among for well-known problems: Traveling Salesman Problem, Vehicle Routing Problem, one-dimensional Bin Packing Problem and the Maximum Cut Problem.
| Date made available | 22 Mar 2023 |
|---|---|
| Publisher | Mendeley Data |
Research output
- 1 Chapter
-
QOPTLib: A Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems
Osaba, E. & Villar-Rodriguez, E., 2023, Benchmarks and Hybrid Algorithms in Optimization and Applications. Yang, X.-S. (ed.). Singapore: Springer Nature Singapore, p. 49-63 15 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review