The Knight’s Tour is a classic algorithmic challenge that tasks a knight with visiting every square on a chessboard exactly once. In this project, the problem was tackled through iterative experimentation—starting with brute-force and backtracking approaches before evolving into more sophisticated methods, including heuristic optimizations.
One key insight was the implementation of Warnsdorff’s Heuristic, a strategy that dramatically improves efficiency by prioritizing moves that lead to the fewest onward options. This approach shifts the focus from simply finding paths to actively eliminating dead-ends, resulting in faster, more reliable solutions across boards of varying sizes. The project highlights the real-world value of algorithm design, problem-solving, and refining logic through creative iteration.