An asymmetric multiple traveling salesman problem with backhauls to solve a dial-a-ride problem

  • E. Osaba
  • , E. Onieva
  • , F. Diaz
  • , R. Carballedo
  • , P. Lopez
  • , A. Perallos

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

10 Citations (Scopus)

Abstract

Nowadays, public transportation has become an essential area for the actual society, which directly affects the quality of life. There are different sort of public transportation systems. One type that receives much attention these days because of its great social interest is the transportation on-demand. Some of the most well-known on-demand transports systems are the Demand Responsive Transit, and the Dial-a-Ride. In this paper, a real-world Dial-a-Ride problem is presented and modeled as a Multi-Attribute Traveling Salesman Problem. In addition, in this work a benchmark of this problem is presented, and the first resolution of this benchmark is offered. For the resolution of the problem an Adaptive Multi-Crossover Population Algorithm has been implemented.

Original languageEnglish
Title of host publicationSAMI 2015 - IEEE 13th International Symposium on Applied Machine Intelligence and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages151-156
Number of pages6
ISBN (Electronic)9781479982219
DOIs
Publication statusPublished - 16 Mar 2015
Externally publishedYes
Event13th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2015 - Herl'any, Slovakia
Duration: 22 Jan 201524 Jan 2015

Publication series

NameSAMI 2015 - IEEE 13th International Symposium on Applied Machine Intelligence and Informatics, Proceedings

Conference

Conference13th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2015
Country/TerritorySlovakia
CityHerl'any
Period22/01/1524/01/15

Keywords

  • Combinatorial optimization
  • Genetic Algorithm
  • Metaheuristic
  • On demand transportation
  • Traveling Salesman Problem

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