Simulation tool based on a memetic algorithm to solve a real instance of a dynamic TSP

  • Eneko Osaba*
  • , Roberto Carballedo
  • , Fernando Díaz
  • , Asier Perallos
  • *Corresponding author for this work

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

13 Citations (Scopus)

Abstract

Nowadays, public transportation has become an essential area which affects our quality of life. Therefore, the design of new roads, new vehicles or new stations is a complicated process that requires a preliminary study to analyze its impact. This paper shows the algorithm of a simulation tool that allows the definition of transport routes, in regular and on-demand transportation systems. The resulting application allows adjustment and modification of routes, depending on passenger demand. All this is achieved through the use of a memetic algorithm that combines a genetic algorithm and tabu search. The result of the work done is a simulation tool and a memetic algorithm used for solving a particular instance of the Dynamic TSP.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Applied Simulation and Modelling, ASM 2012
Pages27-34
Number of pages8
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event20th IASTED International Conference on Applied Simulation and Modelling, ASM 2012 - Napoli, Italy
Duration: 25 Jun 201227 Jun 2012

Publication series

NameProceedings of the IASTED International Conference on Applied Simulation and Modelling, ASM 2012

Conference

Conference20th IASTED International Conference on Applied Simulation and Modelling, ASM 2012
Country/TerritoryItaly
CityNapoli
Period25/06/1227/06/12

Keywords

  • Dynamic TSP
  • Evolutionary computing
  • Intelligent Transport system
  • Simulation tool

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