Skip to main content

Logistics Optimization Service Improved with Artificial Intelligence

  • Chapter
Soft Computing for Intelligent Control and Mobile Robotics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 318))

Abstract

Today the issue of logistics is a very important within companies to the extent that some have departments devoted exclusively to it. This has evolved over time and today is a fundamental aspect in the fight business seeking to consolidate or remain leaders in their field. With the above we know that logistics can be divided into different classes, however, in this regard, our study is based on the timely distribution to the customer with a lower cost, higher sales and better utilization of space resulting in excellent service. Finally, prepare a comparative analysis of the results with respect to another method of optimization solution space.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ajith, A., et al. (eds.): Swarm Intelligence in Data Mining. SCI, vol.Ā 34, p. 270. Springer, Berlin (September 2006) ISBN: 3-540-34955-3

    MATHĀ  Google ScholarĀ 

  2. Lourdes, A., Carlos, C.: Algoritmos Evolutivos: un enfoque practico. In: Grupo, A. (ed.) Primera Edicion, MĆ©xico (2007)

    Google ScholarĀ 

  3. Alan, C.M.E., Jaime, M.A., Manuel, A.R.J., Calleros, G., Rafael, R., Antonio, D.C.: Acceso a Repositorios de Objetos de Aprendizaje a TravĆØs de un Sistema de GestiĆ³n de Contenidos. In: Conferencia Conjunta Iberoamericana sobre TecnologĆ­as de Aprendizaje (CCITA 2009), July 6-10, MĆØrida YucatĆ”n, MĆ©xico (2009)

    Google ScholarĀ 

  4. Cowan George, S., Reynolds Robert, G.: Acquisition of Software engineering knowledge, vol.Ā 14. World Scientific, Singapore

    Google ScholarĀ 

  5. Dasarathy/Belur, V.: Data Mining and Knowledge Discovery: Theory, Tools, and Technology, Orlando (Aprill 2001)

    Google ScholarĀ 

  6. Gill, S., et al.: Data Wherehousing. La integracion de la informacilon para la mejor toma de decisions. Prentice Hall, Mexico (1996)

    Google ScholarĀ 

  7. Landa-Becerra, R.: Uso de InformacĆ³n del Dominio para Mejorar el DesempeƱo de un Algoritmo Evolutivo. CINVESTV PhD Thesis (2007)

    Google ScholarĀ 

  8. MuƱoz, A., Hernandez, A., Villa, E.: Constrained optimization via particle evolutionary swarm optimization algorithm (PESO). In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2005, pp. 209ā€“216. Association for Computing Machinery, Newyork (2005)

    Google ScholarĀ 

  9. Jaime, M.A., Rene, S.S., John Squires, A.R.-g., Ricardo, A., Ricardo, M.G.: Aprendizaje Multiculturales. In: Topicos selectos de Tecnologia Educativa, Universidad de Colima, Compilador, Acosta Ricardo (April 2010)

    Google ScholarĀ 

  10. Ochoa, A., Gonzalez, S.: SimulaciĆ³n Social de una Sociedad Artificial basada en Algoritmos Culturales. International Journal of South American Archeology (IJSA 2011-0626) (2009)

    Google ScholarĀ 

  11. Juan, P.: MĆ©odos y Modelos de InvestigaciĆ³n de Operaciones: Modelos DeterminĆ­sticos, vol.Ā 1. Limusa

    Google ScholarĀ 

  12. Reynolds, G.R., Sverdlink, W.: Problem Solving Using Cultural Algorithms. In: International Conference on Evolutionary Computation (1994)

    Google ScholarĀ 

  13. Reynolds, G.R., Peng, B., Whallon, R.: Emergent Social Structures in Cultural Algorithms (2008)

    Google ScholarĀ 

  14. Carlos, R.L.J.: Uso de la minerĆ­a de datos con fines predictorios de la infraestructura de seguridad de redes Monterrey, N. L (2004)

    Google ScholarĀ 

  15. Taha, H.: InvestigaciĆ³n de Operaciones. SĆ©ptima ediciĆ³n, MĆ©xico D.F., pp. 71ā€“90. Prentice Hall, Englewood Cliffs (2004)

    Google ScholarĀ 

  16. Ian, W.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. Elsevier, Amsterdam

    Google ScholarĀ 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

Ā© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Ochoa, A., Garcia, Y., YaƱez, J. (2010). Logistics Optimization Service Improved with Artificial Intelligence. In: Castillo, O., Kacprzyk, J., Pedrycz, W. (eds) Soft Computing for Intelligent Control and Mobile Robotics. Studies in Computational Intelligence, vol 318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15534-5_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15534-5_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15533-8

  • Online ISBN: 978-3-642-15534-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics