Skip to main content
SpringerLink
Log in

Weak Economic Emergency Medical Devices Routing Optimization Based on Uniform Mutation Ant Colony Algorithm

  • Conference paper
Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7002))

  • 2299 Accesses

Abstract

According to the principle of the weak economy, mathematical model of emergency logistics routing optimization has been established in this paper, and the model is solved by the uniform mutation ant colony algorithm, simulation shows that the optimal results of uniform mutation ant colony algorithm are better than ant colony algorithm. At the same time, compared with the mathematical model of the smallest time, mathematical model of emergency logistics routing optimization reduce the distribution costs on the basis of time requirements which should be satisfied.

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. Liu, Z.: Features of the Regional Emergency Logistics. Statistics and Decision 1, 186–188 (2009)

    Google Scholar 

  2. Zhang, J.: Research of Medical Devices Vehicle Routing Problem. Taiyuan University of Ph.D. thesis, Taiyuan (2010)

    Google Scholar 

  3. Zhang, L., Liu, T., Sun, Y., Li, Q.: Research of genetic algorithm optimization neural network weights blind equalization algorithm based on real number coding. Computer Engineering and Applications 45(11), 162–164 (2009)

    Google Scholar 

  4. Tian, G., Li, M., Wei, X.: Several Solution of Traveling Salesman Problem (TSP). Computer Simulation 23(8), 153–158 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Office of Equipment, First Hospital of Shanxi University of Medicine, Taiyuan, China

    Jin Zhang & Li-yi Zhang

  2. Information Engineering College, Tianjin University of Commerce, Tianjin, China

    Teng Fei, Ting Liu & Xinyi Zhao

Authors
  1. Jin Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Teng Fei
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ting Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Li-yi Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xinyi Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, VIC, Australia

    Hepu Deng

  2. School of Electronics and Information, Tongji University, 201804, Shanghai, China

    Duoqian Miao

  3. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  4. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, J., Fei, T., Liu, T., Zhang, Ly., Zhao, X. (2011). Weak Economic Emergency Medical Devices Routing Optimization Based on Uniform Mutation Ant Colony Algorithm. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23881-9_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23881-9_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23880-2

  • Online ISBN: 978-3-642-23881-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation