Abstract Machine learning-based methods have emerged as competitors to traditional
metaheuristic-based solutions in many areas. Besides investigating their effectiveness, it …

Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem
(TSP) exhibit issues when they try to scale up to real case scenarios with several hundred …

Recent studies employing deep learning to solve the traveling salesman problem (TSP)
have mainly focused on learning construction heuristics. Such methods can improve TSP …

Writing this master dissertation was a challenging and demanding experience, one that I
couldn't have undertaken without the invaluable help of several individuals whom I would …

Abstract Machine learning has emerged as a paradigmatic approach for addressing
complex problems across various scientific disciplines, including combinatorial optimization …