The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2016.070338
PDF

Hybrid Solution Methodology: Heuristic-Metaheuristic-Implicit Enumeration 1-0 for the Capacitated Vehicle Routing Problem (Cvrp)

Author 1: David Escobar Vargas
Author 2: Ramón A. Gallego Rendón
Author 3: Antonio Escobar Zuluaga

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 3, 2016.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: The capacitated vehicle routing problem (CVRP) is a difficult combinatorial optimization problem that has been intensively studied in the last few decades. We present a hybrid methodology approach to solve this problem which incorporates an improvement stage by using a 1-0 implicit enumeration technique or Balas’s method. Other distinguishing features of the methodology proposed include a specially designed route-based crossover operator for solution recombination and an effective local procedure as the mutation step. Finally, the methodology is tested with instances of the specialized literature and compared with its best-known solutions for the CVRP with homogeneous fleet, to be able to identify the efficiency of the use of the Balas’s methodology in routing problems.

Keywords: 1-0 implicit enumeration; CVRP; Operations research; Genetic algorithm; Chu-Beasley; Heuristics; Metaheuristics and exact methods

David Escobar Vargas, Ramón A. Gallego Rendón and Antonio Escobar Zuluaga, “Hybrid Solution Methodology: Heuristic-Metaheuristic-Implicit Enumeration 1-0 for the Capacitated Vehicle Routing Problem (Cvrp)” International Journal of Advanced Computer Science and Applications(IJACSA), 7(3), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070338

@article{Vargas2016,
title = {Hybrid Solution Methodology: Heuristic-Metaheuristic-Implicit Enumeration 1-0 for the Capacitated Vehicle Routing Problem (Cvrp)},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070338},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070338},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {3},
author = {David Escobar Vargas and Ramón A. Gallego Rendón and Antonio Escobar Zuluaga}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org