Solving the interval green inventory routing problem using optimization and genetic algorithms

Carlos Franco, Eduyn Ramiro López-Santana, Juan Carlos Figueroa-García

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

3 Citas (Scopus)

Resumen

In this paper, we present a genetic algorithm embedded with mathematical optimization to solve a green inventory routing problem with interval fuel consumption. Using the idea of column generation in which only attractive routes are generated to the mathematical problem, we develop a genetic algorithm that allow us to determine speedily attractive routes that are connected to a mathematical model. We code our genetic algorithm using the idea of a integer number that represents all the feasible set of routes in which the maximum number allowed is the binary number that represents if a customer is visited or not. We approximate the fuel consumption as an interval number in which we want to minimize the overall fuel consumption of distribution. This is the first approximation made in the literature using this type of methodology so we cannot compare our approach with those used in the literature.

Idioma originalInglés estadounidense
Título de la publicación alojadaApplied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings
EditoresJuan Carlos Figueroa-Garcia, Eduyn Ramiro Lopez-Santana, Roberto Ferro-Escobar, Jose Luis Villa-Ramirez
EditorialSpringer
Páginas556-564
Número de páginas9
ISBN (versión impresa)9783319669625
DOI
EstadoPublicada - 2017
Evento4th Workshop on Engineering Applications, WEA 2017 - Cartagena, Colombia
Duración: sep 27 2017sep 29 2017

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen742
ISSN (versión impresa)1865-0929

Conferencia

Conferencia4th Workshop on Engineering Applications, WEA 2017
País/TerritorioColombia
CiudadCartagena
Período9/27/179/29/17

All Science Journal Classification (ASJC) codes

  • Informática (todo)
  • Matemáticas (todo)

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