Artificial Fish Swarm Algorithm for Solving the Traveling Salesman Problem
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
The Artificial Fish Swarm Algorithm provides an innovative approach to solving the Traveling Salesman Problem (TSP). This implementation represents the only currently available online solution using this specific methodology. The algorithm employs swarm intelligence principles where artificial fish simulate behaviors including prey searching, swarming, and following to optimize the tour route. Key implementation features include distance matrix calculation for city coordinates, fitness evaluation using total tour length, and position updating through stochastic movement operators. This personally developed solution ensures reliable convergence to near-optimal paths through iterative refinement of candidate solutions, making it particularly effective for medium-scale TSP instances with demonstrated successful problem resolution.
- Login to Download
- 1 Credits