Traveling salesman problem is a seminal problem in combinatorial optimization and theoretical computer science. It investigates finding the shortest possible tour that visits every city exactly once and returns to the starting point. Its significance stems from its NP-hard complexity, making it a critical benchmark for developing and evaluating algorithms for discrete optimization and computational complexity theory.