GA-EAX
December 29, 2021 ยท View on GitHub
A genetic algorithm using Edge Assembly Crossover for the traveling salesman problem.
This repository contains the C++ code for the following paper:
Yuichi Nagata and Shigenobu Kobayashi, A Powerful Genetic Algorithm Using Edge Assembly Crossover for the Traveling Salesman Problem, INFORMS Journal on Computing, Vol. 25, No. 2, pp. 346โ363 (2013) [link]
This GA is known as one of the most powerful heuristic algorithms for the traveling salesman problem, and this code was originally published on the journal site as a supplementary material for this paper. However, it is no longer available on the journal site, and I have made this code available on this site.
Usage and description of each file
See the README file in GA_EAX_1.0.