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Author:
A.A Suvorov
Summary:
A high-performance Python library for solving the Traveling Salesman Problem (TSP) using novel heuristic approaches. Features advanced algorithms that outperform classical methods by ~25% on real-world clustered data while maintaining practical computational efficiency.
Latest version:
1.0.1
Required dependencies:
numba
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smart-tsp-benchmark
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