Improved discrete bacterial memetic evolutionary algorithm for the traveling salesman problem

Boldizsár Tüű-Szabó, Péter Földesi, L. Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In recent years a large number of evolutionary and other population based heuristics were proposed in the literature for solving NP-hard optimization problems. In 2015 we presented a Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA) for The Traveling Salesman Problem. It provided results tested on series of TSP problems. In this paper we present an improved version of the DBMEA algorithm, where the local search is accelerated, which is the most time consuming part of the original DBMEA algorithm. This modification led to a significant improvement, the runtime of the improved DBMEA was 5– 20 times shorter than the original DBMEA algorithm. Our DBMEA algorithms calculate real value costs better than integer ones, so we modified the Concorde algorithm be comparable with our results. The improved DBMEA was tested on several TSPLIB benchmark problems and other VLSI benchmark problems and the following values were compared: - optima found by the improved DBMEA heuristic and by the modified Concorde algorithm with real cost values - runtimes of original DBMEA, improved DBMEA and modified Concorde algorithm. Based on the test results we suggest the use of the improved DBMEA heuristic for the more efficient solution of TSP problems.

Original languageEnglish
Title of host publicationComputational Intelligence in Information Systems - Proceedings of the Computational Intelligence in Information Systems Conference, CIIS 2016
PublisherSpringer Verlag
Pages27-38
Number of pages12
Volume532
ISBN (Print)9783319485164
DOIs
Publication statusPublished - 2017
EventInternational Conference on Computational Intelligence in Information Systems, CIIS 2016 - Gadong, Brunei Darussalam
Duration: Nov 18 2016Nov 20 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume532
ISSN (Print)21945357

Other

OtherInternational Conference on Computational Intelligence in Information Systems, CIIS 2016
CountryBrunei Darussalam
CityGadong
Period11/18/1611/20/16

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Keywords

  • Discrete optimization
  • Memetic algorithm
  • Traveling Salesman Problem

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Tüű-Szabó, B., Földesi, P., & Kóczy, L. (2017). Improved discrete bacterial memetic evolutionary algorithm for the traveling salesman problem. In Computational Intelligence in Information Systems - Proceedings of the Computational Intelligence in Information Systems Conference, CIIS 2016 (Vol. 532, pp. 27-38). (Advances in Intelligent Systems and Computing; Vol. 532). Springer Verlag. https://doi.org/10.1007/978-3-319-48517-1_3