Solving Traveling Salesman Problem (TSP) Using Simulated Annealing Algorithm
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Resource Overview
Complete MATLAB source code implementation of the simulated annealing algorithm for solving the Traveling Salesman Problem, accompanied by comprehensive documentation and helper files.
Detailed Documentation
The simulated annealing algorithm is a heuristic approach for solving the Traveling Salesman Problem (TSP), inspired by the metallurgical process of annealing where materials are heated and slowly cooled to reduce defects. This implementation provides complete MATLAB source code featuring key components such as temperature scheduling, neighbor solution generation through city swapping, and energy calculation using Euclidean distances. The code includes detailed documentation explaining algorithm parameters like initial temperature, cooling rate, and stopping criteria, along with visualization functions to track convergence. Users can modify city coordinates and algorithm parameters to test various TSP instances, with helper files providing practical examples and performance analysis tools.
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