Simulated Annealing with Dynamic Programming-based Vertex Insertion for Efficiently Solving the Traveling Thief Problem
Pages 165 - 172
Abstract
Many real-world optimization problems today are challenging to solve due to their inclusion of multiple interdependent NP-Hard subproblems. The Traveling Thief Problem (TTP), a relatively new combinatorial optimization problem, has been proposed to better model these types of problems. TTP comprises two well-known NP-Hard problems: the Traveling Salesman Problem (TSP) and the Knapsack Problem (KP). This paper introduces the SAVI algorithm, utilizing Simulated Annealing with a Vertex Insertion procedure that is efficiently implemented via Dynamic Programming. Experimental results show that SAVI runs efficiently across various TTP test cases, yielding highly competitive outcomes compared to other state-of-the-art algorithms, especially on medium and large-sized instances. Source code is available at https://github.com/ELO-Lab/SAVI.
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Index Terms
- Simulated Annealing with Dynamic Programming-based Vertex Insertion for Efficiently Solving the Traveling Thief Problem
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GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary ComputationThis study addresses the recently introduced Traveling Thief Problem (TTP) which combines the classical Traveling Salesman Problem (TSP) with the 0-1 Knapsack Problem (KP). The problem consists of a set of cities, each containing a set of available ...
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December 2023
1058 pages
ISBN:9798400708916
DOI:10.1145/3628797
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Published: 07 December 2023
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- University of Information Technology - Vietnam National University Ho Chi Minh City
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SOICT 2023
SOICT 2023: The 12th International Symposium on Information and Communication Technology
December 7 - 8, 2023
Ho Chi Minh, Vietnam
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