Abstract
The Traveling Thief Problem (TTP) is a new problem recently proposed in the literature. The TTP combines two well-known optimization problems: the knapsack problem (KP) and the travelling salesman problem (TSP). In this paper, new hybrid ant colony algorithms are presented. We study and compare different approaches for solving the TTP. The first approach is a centralized and static metaheuristic, the second is a dynamic metaheuristic and the third is a distributed metaheuristic. The obtained results prove that our algorithms are efficient for instances of TTP.
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