Nothing Special   »   [go: up one dir, main page]

Skip to main content

Situation Patterns in Multi-Agent Systems for Solving Transportation Problems

  • Conference paper
Advances on Practical Applications of Agents and Multi-Agent Systems

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 155))

  • 708 Accesses

Abstract

The aim of the work is to propose algorithms which solve transportation problems, viz. Pickup and Delivery Problem with Time Windows (PDPTW), taking into consideration the identification and description of the current situation. The essential element of a solution is to calculate measures of the current situation and use them to decide on versions and configurations of algorithms performed dealing with given kinds of problems the best and limit the computational time.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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.

Similar content being viewed by others

References

  1. Benchmarks - Vehicle Routing and Travelling Salesperson Problems, http://www.sintef.no/static/am/opti/projects/top/

  2. Bachem, A., Hochstättler, W., Malich, M.: The simulated trading heuristic for solving vehicle routing problems. Discrete Appl. Math. 65, 47–72 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  3. Fischer, K., Muller, J.P., Pischel, M.: Cooperative Transportation Scheduling: an Application Domain for DAI. Applied Artificial Intelligence, 1–33 (1996)

    Google Scholar 

  4. Konieczny, M., Kozlak, J., Zabinska, M.: Multi-agent crisis management in transport domain. In: Proceedings of 9th International Conference on Computational Science - ICCS 2009, Part II, Baton Rouge, LA, USA, May 25-27, pp. 855–864 (2009)

    Google Scholar 

  5. Kozlak, J., Pisarski, S., Zabinska, M.: Application of holonic approach for transportation modelling and optimising. In: Demazeau, Y., Pechoucek, M., Corchado, J.M., Pérez, J.B. (eds.) PAAMS 2011. AISC, vol. 88, pp. 189–194. Springer, Heidelberg (2011)

    Google Scholar 

  6. Li, H., Lim, A.: A Metaheuristic for the Pickup and Delivery Problem with Time Windows. In: Proc. of 13th IEEE Int. Conf. on Tools with Artificial Intelligence, ICTAI 2001 (2001)

    Google Scholar 

  7. Meignan, D., Creeput, J.C., Koukam, A.: A coalition-based metaheuristic for the vehicle routing problem. In: Proc. of IEEE Congress on Evolutionary Computation, pp. 1176–1182 (2008)

    Google Scholar 

  8. Panait, L., Luke, S.: Cooperative multi-agent learning: The state of the art. Autonomous Agents and Multi-Agent Systems 11, 387–434 (2005)

    Article  Google Scholar 

  9. Smith, R.G.: The contract net protocol: high-level communication and control in a distributed problem solver. IEEE Transactions on Computer, 1104–1113 (1980)

    Google Scholar 

  10. Watkins, C.J.C.H., Dayan, P.: Q-learning. Machine Learning 8(3), 279–292 (1992)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jarosław Koźlak .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Koźlak, J., Pisarski, S., Żabińska, M. (2012). Situation Patterns in Multi-Agent Systems for Solving Transportation Problems. In: Demazeau, Y., Müller, J., Rodríguez, J., Pérez, J. (eds) Advances on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28786-2_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28786-2_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28785-5

  • Online ISBN: 978-3-642-28786-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics