A column generation approach for solving a green bi-objective inventory routing problem

Carlos Franco, Eduyn Ramiro López-Santana, Germán Méndez-Giraldo

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

7 Scopus citations

Abstract

The aim of this paper is present a multi-objective algorithm embedded with column generation to solve a green bi-objective inventory routing problem. In contrast with the classic Inventory Routing Problem where the main objective is to minimize the total cost overall supply chain network, in the green logistics besides this objective a minimization of the CO2emisions is included. For solving the bi-objective problem, we proposed the use of NISE (Noninferior Set Estimation) algorithm combined with column generation for reduce the amount of variables in the problem.

Original languageEnglish (US)
Title of host publicationAdvances in Artificial Intelligence - IBERAMIA 2016 - 15th Ibero-American Conference on AI 2016, Proceedings
EditorsHugo Jair Escalante, Manuel Montes-y-Gomez, Alberto Segura, Juan de Dios Murillo
PublisherSpringer
Pages101-112
Number of pages12
ISBN (Print)9783319479545
DOIs
StatePublished - 2016
Event15th Ibero-American Conference on Advances in Artificial Intelligence, IBERAMIA 2016 - San Jose, Costa Rica
Duration: Nov 23 2016Nov 25 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10022 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th Ibero-American Conference on Advances in Artificial Intelligence, IBERAMIA 2016
Country/TerritoryCosta Rica
CitySan Jose
Period11/23/1611/25/16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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