Skip to main content
SpringerLink
Log in

Comparison of Heuristics in Multiobjective A* Search

  • Conference paper
Current Topics in Artificial Intelligence (CAEPIA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4177))

Included in the following conference series:

Abstract

The paper reconsiders the importance of monotonicity and consistency properties on the efficiency of multiobjective A* search. Previous works on the MOA* algorithm (Multi-objective A*) concluded that the importance of the monotone property of heuristics was not as important as in A*. The recent development of an alternative algorithm (NAMOA*), gives a chance to review these results. The paper presents a formal analysis on the comparison of heuristics in NAMOA* and concludes that the properties of consistency and monotonicity are of fundamental importance in search efficiency.

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.

Similar content being viewed by others

References

  1. Dechter, R., Pearl, J.: Generalized Best-First Search Strategies and the Optimality of A*. Journal of the ACM 32(3), 505–536 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  2. Hart, P.E., Nilsson, N.J., Raphael, B.: A formal basis for the heuristic determination of minimum cost paths. IEEE Tr. Systems Science and Cybernetics SSC-4 2, 100–107 (1968)

    Article  Google Scholar 

  3. Mandow, L., Pérez de la Cruz, J.L.: Multicriteria heuristic search. European Journal of Operational Research 150, 253–280 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  4. Mandow, L., Pérez de la Cruz, J.L.: A new approach to multiobjective A*. In: Proc. of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI 2005), pp. 218–223 (2005)

    Google Scholar 

  5. Pearl, J.: Heuristics. Addison-Wesley, Reading (1984)

    Google Scholar 

  6. Stewart, B.S., White, C.C.: Multiobjective A*. Journal of the ACM 38(4), 775–814 (1991)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dpto. Lenguajes y Ciencias de la Computación. ETSI Informática, Universidad de Málaga, 29071, Málaga, Spain

    L. Mandow & J. L. Pérez de la Cruz

Authors
  1. L. Mandow
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. J. L. Pérez de la Cruz
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Dpto. de Ingeniería de la Información da las Comunicaciones, Universidad de Murcia, Campus de Espinardo, s/n., 30071, Murcia, Spain

    Roque Marín

  2. Universidad Politecnica de Valencia, (Spain)

    Eva Onaindía

  3. Dept. Electronics and Computer Science, University of Santiago de Compostela,  

    Alberto Bugarín

  4. Department of Life Sciences, Imperial College London, SW7 2AZ, London, UK

    José Santos

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mandow, L., de la Cruz, J.L.P. (2006). Comparison of Heuristics in Multiobjective A* Search. In: Marín, R., Onaindía, E., Bugarín, A., Santos, J. (eds) Current Topics in Artificial Intelligence. CAEPIA 2005. Lecture Notes in Computer Science(), vol 4177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881216_20

Download citation

  • DOI: https://doi.org/10.1007/11881216_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45914-9

  • Online ISBN: 978-3-540-45915-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation