• español
    • English
    • português (Brasil)
  • English 
    • español
    • English
    • português (Brasil)
  • Login

Repositorio CUC

  • Inicio
  • Colecciones
  • Navegar
    • Autores
    • Títulos
    • Fechas
    • Materias
    • Tipo de Material
  • Biblioteca
  • Información de interés
  • Comunities Comunities
  • Authors Authors
  • Titles Titles
  • Dates Dates
  • Subjects Subjects
  • Resource Type Resource Type
View Item 
  •   DSpace Home
  • Producción científica y académica
  • Artículos científicos
  • View Item
  •   DSpace Home
  • Producción científica y académica
  • Artículos científicos
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Cambiar vista

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsPrint ISSNResource TypeElectronic ISSNProgramThis CollectionBy Issue DateAuthorsTitlesSubjectsPrint ISSNResource TypeElectronic ISSNProgram

My Account

LoginRegister

Statistics

View Usage Statistics

A comparative approach of ant colony system and mathematical programming for task scheduling in a mineral analysis laboratory


Niebles Atencio, Fabricio Andres
Bustacara Prasca, Alexander
Neira Rodado, Dionicio
Mendoza Casseres, Daniel
Rojas Santiago, Miguel

Artículo de revista

2016

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

https://doi.org/DOI: 10.1007/978-3-319-41000-5_41

03029743

Ant colony optimizationBuscar en Repositorio UMECIT
Multi-objective optimizationBuscar en Repositorio UMECIT
SchedulingBuscar en Repositorio UMECIT

This paper considers the problem of scheduling a given set of samples in a mineral laboratory, located in Barranquilla Colombia. Taking into account the natural complexity of the process and the large amount of variables involved, this problem is considered as NP-hard in strong sense. Therefore, it is possible to find an optimal solution in a reasonable computational time only for small instances, which in general, does not reflect the industrial reality. For that reason, it is proposed the use of metaheuristics as an alternative approach in this problem with the aim to determine, with a low computational effort, the best assignation of the analysis in order to minimize the makespan and weighted total tardiness simultaneously. These optimization objectives will allow this labora-tory to improve their productivity and the customer service, respectively. A Ant Colony Optimization algorithm (ACO) is proposed. Computational experiments are carried out comparing the proposed approach versus exact methods. Results show the efficiency of our ACO algorithm.

http://hdl.handle.net/11323/1321

  • Artículos científicos [2636]

Descripción: A comparative approach of ant colony system.pdf
Título: A comparative approach of ant colony system.pdf
Tamaño: 176.8Kb

Unicordoba LogoPDFOpen AccessFLIPLEER EN FLIP

Show full item record

Cita

Cómo citar

Cómo citar

Miniatura

Thumbnail

Gestores Bibliográficos

Exportar a Bibtex

Exportar a RIS

Exportar a Excel

Buscar en google Schoolar

Buscar en microsoft academic

untranslated

Código QR

Envíos recientes

    No hay artículos recientes

HORARIOS DE ATENCIÓN AL USUARIO

LUNES A VIERNES 7:00 a.m a 7:00 p.m

SABADOS: 8:00 a.m a 6:00 p.m

DOMINGOS Y FESTIVOS NO HAY ATENCIÓN


Ubicados en el Bloque 2, Piso 1 y 2

Logo CUC

Contacto

Correo: biblioteca@cuc.edu.co

Telefono: 3362248

Barranquilla, Colombia

Calle 58 # 55-66 Barrio Modelo


Accesos


  • Bases de datos
  • Investigación
  • PQR
  • Catálogo bibliográfico
  • Publish or perish
  • Booklick
  • Libby
Todos los derechos reservados.

Sistema DSPACE - Metabiblioteca | logo