Skip to main content
SpringerLink
Log in

An Ant Colony Optimization and Bayesian Network Structure Application for the Asymmetric Traveling Salesman Problem

  • Conference paper
Intelligent Information and Database Systems (ACIIDS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7198))

Included in the following conference series:

Abstract

The asymmetric traveling salesman problem (ATSP) is an NP-hard problem. The Bayesian network structure which describes conditional independence among subsets of variables is useful in reasoning uncertainty. The ATSP is formed as the Bayesian network structure and solved by the ant colony optimization (ACO) in this study. The proposed algorithm is tested in different sample size. The exam case is finding customer preference’s city sequence. Results show the proposed algorithm has a higher joint probability than random selected case. More applications such as the sequential decision, the variable ordering or the route planning can also implement.

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. Dorigo, M., Stützle, T.: Ant Colony Optimization. The MIT Press, Cambridge (2004)

    MATH  Google Scholar 

  2. Jensen, F.V.: Introduction to Bayesian Networks. Springer, Berlin (1996)

    Google Scholar 

  3. Pearl, J.: Probabilistic Reasoning in Intelligent System: Networks of Plausible Inference. Morgan Kaufmann, San Mateo (1988)

    MATH  Google Scholar 

  4. Shukla, A., Tiwari, R., Kala, R.: Real Life Applications of Soft Computing. CRC press, Taylor & Francis, Boca Raton, FL (2010)

    Book  Google Scholar 

  5. Kirkpatrick, S., Gelatt Jr., C.D., Vecchi, M.P.: Optimization by Simulated Annealing. Sci. 220(4598), 671–680 (1983)

    Article  MathSciNet  MATH  Google Scholar 

  6. Holland, J.H.: Adaptation in Natural and Artificial Systems. U. of Michigan Press (1975)

    Google Scholar 

  7. Dorigo, M.: Optimization, Learning and Natural Algorithms (Ph.D Thesis). Politecnico di Milano, Italie (1992)

    Google Scholar 

  8. Kennedy, J., Eberhart, R.: Particle Swarm Optimization. In: Proc. of IEEE Intl. Conf. on Neural Networks IV, pp. 1942–1948 (1995)

    Google Scholar 

  9. Öncan, T., Altinel, I.K., Laporte, G.: A comparative analysis of several asymmetric traveling salesman problem formulations. Comp. & Oper. Res. 36, 637–654 (2009)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Information Management, Chienkuo Technology Univeristy, No.1, Chiehshou North Road, Changhua City, 500, Taiwan

    Nai-Hua Chen

Authors
  1. Nai-Hua Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien-Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, No. 140, Min-Shen Road, 40306, Taichung, Taiwan

    Shyi-Ming Chen

  3. Wrocław University of Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chen, NH. (2012). An Ant Colony Optimization and Bayesian Network Structure Application for the Asymmetric Traveling Salesman Problem. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28493-9_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28493-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28492-2

  • Online ISBN: 978-3-642-28493-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation