Το work with title A fast FPGA-Based 2-Opt solver for small-scale euclidean traveling salesman problem by Papaefstathiou Ioannis, Pnevmatikatos Dionysios, Mavroidis I. is licensed under Creative Commons Attribution 4.0 International
Bibliographic Citation
I. Papaefstathiou, D. Pnevmatikatos, I. Mavroidis, "A Fast FPGA-Based 2-Opt Solver for Small-Scale Euclidean Traveling Salesman Problem," in 15th Annual IEEE Symposium on Field-Programmable Custom Computing Machines, 2007, pp. 13 - 22. doi: 10.1109/FCCM.2007.40
https://doi.org/10.1109/FCCM.2007.40
In this paper we discuss and analyze the FPGA-based implementation of an algorithm for the traveling salesman problem (TSP), and in particular of 2-Opt, one of the most famous local optimization algorithms, for Euclidean TSP instances up to a few hundred cities. We introduce the notion of "symmetrical 2-Opt moves" which allows us to uncover fine-grain parallelism when executing the specified algorithm. We propose a novel architecture that exploits this parallelism, and demonstrate its implementation in reconfigurable hardware. We evaluate our proposed architecture and its implementation on a state-of-the-art FPGA using a subset of the TSPLIB benchmark, and find that our approach exhibits better quality of final results and an average speedup of 600% when compared with the state-of-the-art software implementation. Our approach produces, to the best of our knowledge, the fastest to date TSP 2-Opt solver for small-scale Euclidean TSP instances.