Comparison of a memetic algorithm and a tabu search algorithm for the traveling salesman problem

  • Eneko Osaba*
  • , Fernando Diaz
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)

Abstract

The traveling salesman problem, or TSP, is one of the most famous and well studied problems in combinatorial optimization. There are many studies with the objective of finding an optimal solution for this problem. These studies have not been successful, since it is considered to be an NP-Hard problem. This means that is not possible to find a method that ensures an optimal solution for all instances of this problem. In this paper we present two techniques to solve this problem, a tabu search based algorithm and a memetic algorithm. The results of both techniques are shown and compared to decide which one of the two alternatives gets better results. Apart from this, several studies are performed to determine certain aspects of the algorithms, such as the crossover function for the memetic algorithm or the size of the tabu list.

Original languageEnglish
Title of host publication2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012
Pages131-136
Number of pages6
Publication statusPublished - 2012
Externally publishedYes
Event2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012 - Wroclaw, Poland
Duration: 9 Sept 201212 Sept 2012

Publication series

Name2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012

Conference

Conference2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012
Country/TerritoryPoland
CityWroclaw
Period9/09/1212/09/12

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