Design an algorithm to solve the traveling salesman problem for up to 50 cities. Analyze its time and space complexity. Then optimize the algorithm using at least three different approaches (e.g., branch and bound, dynamic programming, approximation). Compare the performance of each approach for different input sizes and distributions. Finally, propose how you would modify the most successful approach to work efficiently in a distributed computing environment.