U-Turning Ant Colony Algorithm for Solving Symmetric Traveling Salesman Problem
DOI:
https://doi.org/10.25007/ajnu.v7n4a270Keywords:
Traveling Salesman Problem (TSP), Ant System (AS), Swarm Intelligence, U-Turning Ant Colony Optimization Algorithm (U-TACO), Symmetric Traveling Salesman Problem (STSP)Abstract
This paper provides a new Ant based algorithms called U-Turning Ant colony optimization (U-TACO) for solving a well-known NP-Hard problem, which is widely used in computer science field called Traveling Salesman Problem (TSP). Generally U-Turning Ant colony Optimization Algorithm makes a partial tour as an initial state for the basic conventional Ant Colony algorithm. This paper provides tables and charts for the results obtained by U-Turning Ant colony Optimization for various TSP problems from the TSPLIB95.
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Almufti, S. (2017). Using Swarm Intelligence for solving NPHard Problems. Academic Journal of Nawroz University, 6(3), pp. 46-50. doi:10.25007/ajnu.v6n3a78
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Asaad, R., Abdulnabi, N. (2018). Using Local Searches Algorithms with Ant Colony Optimization for the Solution of TSP Problems. Academic Journal Of Nawroz University, 7(3), 1-6. doi:10.25007/ajnu.v7n3a193
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