Skip to main content

A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6238))

Abstract

The pickup and delivery problem with time windows (PDP TW) is a variant of the vehicle routing problem. In this paper, we present an memetic algorithm (MA) for the PDPTW. Particular attention is paid to the design of the crossover because it is usually very hard to design an effective crossover operator for tightly constrained problems such as the PDPTW. Experimental results on Li and Lim’s benchmarks demonstrate that our MA is competitive with existing approaches and improves 146 best-known solutions out of 298 instances.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bent, R., Hentenryck, P.: A two-stage hybrid algorithm for pickup and delivery vehicle routing problems with time windows. Computers & Operations Research 33(4), 875–893 (2006)

    Article  MATH  Google Scholar 

  2. Hashimoto, H., Yagiura, M., Ibaraki, T.: An iterated local search algorithm for the time-dependent vehicle routing problem with time windows. Discrete Optimization 5(2), 434–456 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  3. Li, H., Lim, A.: A metaheuristic for the pickup and delivery problem with timewindows. In: Proc. of the 13th International Conference on Tools with Artificial Intelligence, pp. 160–167 (2001)

    Google Scholar 

  4. Mester, D., Bräysy, O.: Active guided evolution strategies for large-scale vehicle routing problems with time windows. Computers & Operations Research 32(6), 1593–1614 (2005)

    Article  Google Scholar 

  5. Nagata, Y., Bräysy, O.: Efficient local search limitation strategies for vehicle routing problems. In: van Hemert, J., Cotta, C. (eds.) EvoCOP 2008. LNCS, vol. 4972, pp. 48–60. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  6. Nagata, Y., Bräysy, O., Dullaert, W.: A penalty-based edge assembly memetic algorithm for the vehicle routing problem with time windows. Computers & Operations Research 37(4), 724–737 (2010)

    Article  MATH  Google Scholar 

  7. Nagata, Y., Kobayashi, S.: Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. In: Cowling, P., Merz, P. (eds.) EvoCOP 2010. LNCS, vol. 6022, pp. 202–213. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  8. Prescott-Gagnon, E., Desaulniers, G., Rousseau, L.: A branch-and-price-based large neighborhood search algorithm for the vehicle routing problem with time windows. Networks 54(4), 190–204 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  9. Ropke, S., Pisinger, D.: An adaptive large neighborhood search heuristic for the pickup and delivery problem with time windows. Transportation Science 40(4), 455–472 (2006)

    Article  Google Scholar 

  10. Shaw, P.: Using constraint programming and local search methods to solve vehicle routing problems. In: Maher, M.J., Puget, J.-F. (eds.) CP 1998. LNCS, vol. 1520, pp. 417–431. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nagata, Y., Kobayashi, S. (2010). A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover. In: Schaefer, R., Cotta, C., Kołodziej, J., Rudolph, G. (eds) Parallel Problem Solving from Nature, PPSN XI. PPSN 2010. Lecture Notes in Computer Science, vol 6238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15844-5_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15844-5_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15843-8

  • Online ISBN: 978-3-642-15844-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics