MATLAB Implementation of Tabu Search Algorithm for Solving Traveling Salesman Problem (TSP)
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This study presents a MATLAB implementation of the Tabu Search algorithm for solving the Traveling Salesman Problem (TSP). The program incorporates key components including adaptive neighborhood generation, tabu list management with aspiration criteria, and intensification/diversification strategies. We developed multiple experimental scenarios to evaluate the algorithm's performance and accuracy, comparing results with other optimization methods. The implementation features dynamic solution encoding using permutation matrices, fitness evaluation through distance matrix computation, and iterative improvement mechanisms. Our findings demonstrate that the Tabu Search algorithm achieves excellent performance in solving TSP instances, showing significant potential for real-world applications in logistics and route optimization.
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