Skip to main content
SpringerLink
Log in

Evolutionary Approach in Inventory Routing Problem

  • Conference paper
Advances in Computational Intelligence (IWANN 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7903))

Included in the following conference series:

Abstract

Most companies recognize the need for the integration and coordination of various components in logistics and supply chain management as an important factor. This paper presents an evolutionary approach to modeling and optimization on inventory routing problem of inventory management, logistics distribution and supply chain management. The aim of this research is to present different individual evolutionary approach, and to obtain power extension of these hybrid approaches. In general, these evolutionary hybrid approaches are more competitive than classic problem-solving methodology including improved heuristics methods or individual bio-inspired methods and their solutions in inventory management, logistics distribution and supply chain.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Moin, N.H., Salhi, S.: Inventory Routing Problems: A Logistical Overview. Journal of the Operational Research Society 58(9), 1185–1194 (2007)

    Article  MATH  Google Scholar 

  2. Bell, W.J.L., Dalberto, M., Fisher, M.L., Greenfield, A.J., Jaikumar, R., Kedia, P., Mack, R.G.: Improving the Distribution of Industrial Gases with an On-line Computerized Routing and Scheduling Optimizer. Interfaces 13(6), 4–23 (1983)

    Article  Google Scholar 

  3. Archetti, C., Bertazzi, L., Laporte, G., Speranza, M.G.: A Branch-and-cut Algorithm for a Vendor Managed Inventory Routing Problem. Transportation Science 41(3), 382–391 (2007)

    Article  Google Scholar 

  4. Simić, D., Simić, S.: Hybrid Artificial Intelligence Approaches on Vehicle Routing Problem in Logistics Distribution. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, S.-B. (eds.) HAIS 2012, Part III. LNCS, vol. 7208, pp. 208–220. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  5. Sumathi, S., Hamsapriya, T., Surekha, P.: Evolutionary Intelligence. Springer, Heidelberg (2008)

    Google Scholar 

  6. Corchado, E., Abraham, A., de Carvalho, A.: Hybrid Intelligent Algorithms and Applications. Information Science 180(14), 2633–2634 (2010)

    Article  Google Scholar 

  7. Chen, Y.M., Lin, C.T.: A Coordinated Approach to Hedge the Risks in Stochastic Inven-tory-routing Problem. Computers & Industrial Engineering 56, 1095–1112 (2009)

    Article  Google Scholar 

  8. Wang, H.F., Chen, Y.Y.: A genetic algorithm for the simultaneous delivery and pickup problems with time window. Computers & Industrial Engineering 62, 84–95 (2012)

    Article  Google Scholar 

  9. Solomon, M.M.: Algorithms for the vehicle routing and scheduling problems with time window constraints. Operations Research 35(2), 254–265 (1987)

    Article  MathSciNet  MATH  Google Scholar 

  10. Pham, D.T., Karaboga, D.: Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks. Springer, Heidelberg (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000, Novi Sad, Serbia

    Dragan Simić

  2. Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 1-9, 21000, Novi Sad, Serbia

    Svetlana Simić

Authors
  1. Dragan Simić
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Svetlana Simić
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Architecture and Computer Technology, University of Granada, Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain

    Ignacio Rojas

  2. Department of Electronics Technology, University of Malaga, 29071, Malaga, Spain

    Gonzalo Joya

  3. Department of Electronics Engineering, Universitat Politecnica de Catalunya, 08034, Barcelona, Spain

    Joan Cabestany

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Simić, D., Simić, S. (2013). Evolutionary Approach in Inventory Routing Problem. In: Rojas, I., Joya, G., Cabestany, J. (eds) Advances in Computational Intelligence. IWANN 2013. Lecture Notes in Computer Science, vol 7903. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38682-4_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38682-4_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38681-7

  • Online ISBN: 978-3-642-38682-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation