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The article presents an improved biogeography-based optimization method, termed G2BBO, for solving the traveling salesman problem (TSP) by integrating a greedy randomized adaptive search procedure and the 2-opt algorithm. G2BBO effectively addresses local minimum issues and accelerates convergence, demonstrating superior performance on complex datasets compared to existing algorithms. The research highlights the need for efficient approximation methods in TSP, particularly in real-world applications where d

Author

rumaisa.sourcecode

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EN