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2021•Unpublished venueRequires access

Adaptation of Parallel Framework to Solve Traveling Salesman Problem Using Genetic Algorithms and Tabu Search

Alber Barros Miranda, Daladier Jabba, Carlos Julio Ardila Hernandez, Luis Guzman Reyes, Jonathan Ruiz-Range

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Abstract

The modeling of combinatorial optimization problems has acquired great importance both for research in mathematical processes and for companies starting new projects and seeking to identify the most efficient, beneficial and economic implementation. One of the most investigated combinatorial problems in optimization studies is the traveling salesman problem (TSP). Here we describe a parallel strategy to solve TSP problem using genetic algorithm and Tabu search based on framework(Guzman, N. Ruiz, Ardila, Jabba and Nieto, 2016) which make a solution through parallel processing within a Master-Slave structure. In addition, the proposed approach is compared with an existing algorithm.

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What this paper is about

The modeling of combinatorial optimization problems has acquired great importance both for research in mathematical processes and for companies starting new projects and seeking to identify the most efficient, beneficial and economic implementation. One of the most investigated combinatorial problems in optimization studies is the traveling salesman problem (TSP). Here we describe a parallel strategy to solve TSP problem using genetic algorithm and Tabu search based on framework(Guzman, N. Ruiz, Ardila, Jabba and Nieto, 2016) which make a solution through parallel processing within a Master-Slave structure. In addition, the proposed approach is compared with an existing algorithm.

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Available abstract

The modeling of combinatorial optimization problems has acquired great importance both for research in mathematical processes and for companies starting new projects and seeking to identify the most efficient, beneficial and economic implementation. One of the most investigated combinatorial problems in optimization studies is the traveling salesman problem (TSP). Here we describe a parallel strategy to solve TSP problem using genetic algorithm and Tabu search based on framework(Guzman, N. Ruiz, Ardila, Jabba and Nieto, 2016) which make a solution through parallel processing within a Master-Slave structure. In addition, the proposed approach is compared with an existing algorithm.

Key concepts: Travelling salesman problem, Tabu search, Mathematical optimization, Computer science, Combinatorial optimization, Genetic algorithm, 2-opt, Guided Local Search

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