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

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

Resultado de la investigación: Capítulo en Libro/Reporte/ConferenciaContribución a la conferencia

7 Citas (Scopus)

Resumen

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.

Idioma originalInglés estadounidense
Título de la publicación alojadaAdvances in Artificial Intelligence - IBERAMIA 2016 - 15th Ibero-American Conference on AI 2016, Proceedings
EditoresHugo Jair Escalante, Manuel Montes-y-Gomez, Alberto Segura, Juan de Dios Murillo
EditorialSpringer
Páginas101-112
Número de páginas12
ISBN (versión impresa)9783319479545
DOI
EstadoPublicada - 2016
Evento15th Ibero-American Conference on Advances in Artificial Intelligence, IBERAMIA 2016 - San Jose, Costa Rica
Duración: nov 23 2016nov 25 2016

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10022 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia15th Ibero-American Conference on Advances in Artificial Intelligence, IBERAMIA 2016
País/TerritorioCosta Rica
CiudadSan Jose
Período11/23/1611/25/16

All Science Journal Classification (ASJC) codes

  • Ciencia computacional teórica
  • Informática (todo)

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