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A genetic algorithm using Edge Assembly Crossover for the traveling salesman problem

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GA-EAX

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. 346–363 (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.

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