Skip to main content
SpringerLink
Log in

Application of Genetic Algorithm for Component Optimization to Deploy Geoprocessing Web

  • Conference paper
  • First Online:
Intelligent Computing, Communication and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 308))

  • 2552 Accesses

Abstract

Spatial data infrastructures served through the Web combined with the ever increasing network and telecommunication capabilities, and made geospatial data largely available over the last few decades. In addition, providing semantic specifications to geospatial information, data sharing and interoperability have also been achieved. Consequently, effective and efficient implementation of the Web processing, data processing methods for geospatial information extraction, and knowledge discovery over the Web are a major challenge for various domains. This paper provides a basic framework to optimize the various components associated with the geoprocessing implementation using genetic algorithm

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and 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

References

  1. Kiehle, C., Greve, K., Heier, C.: Requirements for next generation spatial data infrastructures-standardized web based geoprocessing and web service orchestration. Trans. GIS 11(6), 819–834 (2007)

    Article  Google Scholar 

  2. Tsou, M., Buttenfield, B.: A dynamic architecture for distributing geographic information services. Trans. GIS 6(4), 355–381 (2002)

    Article  Google Scholar 

  3. Zhao, P., Di, L., Yu, G.: Building asynchronous geospatial processing work-flows with web services (2011)

    Google Scholar 

  4. Abel, D., Taylor, K., Ackland, R., Hungerford, S.: An exploration of GIS architectures for internet environments. Comput. Environ. Urban. Syst. 22(1), 7–23 (1998)

    Article  Google Scholar 

  5. Berners-Lee, T., Hall, W., Hendler, J., Shadbolt, N., Wietzner, D.: Creating a science of the web. Science 311(5788), 769–771 (2006)

    Article  Google Scholar 

  6. Zhao, P., Di, L., Yu, G.: Building asynchronous geospatial processing work-flows with web services. Comput. Geosci. 39(2), 34–41 (2012)

    Article  Google Scholar 

  7. Zhao, P., Yu, G., Di, L.: Geospatial web services. In: Hilton, B. (Ed.), Emerging Spatial Information Systems and Applications, pp. 1–35. Idea Group Publishing, Hershey (2006)

    Google Scholar 

  8. Ji, Z., Li, Z., Ji, Z.: Research on genetic algorithm and data information based on combined framework for nonlinear functions optimization. Proc. Eng. 23, 155–160 (2011)

    Article  Google Scholar 

  9. Mezura-Montesa, E., Coello Coello, C.A.: Constraint-handling in nature-inspired numerical optimization: past, present and future. Evol. Comput. 1, 173–194 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Aricent, Bengaluru, India

    Sujit Kumar Behera

  2. Konark Institute of Science and Technology, Jatni, Bhubaneswar, 752050, Odisha, India

    Lalit Kumar Behera & Payodhar Padhi

  3. Orissa Engineering College, Jatni, Bhubaneswar, 752050, Odisha, India

    Maya Nayak

Authors
  1. Sujit Kumar Behera
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lalit Kumar Behera
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Payodhar Padhi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Maya Nayak
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sujit Kumar Behera .

Editor information

Editors and Affiliations

  1. University of Canberra, Faculty of Education, Science, Technology and Mathematics, Canberra, Australia, and University of South Australia, Adelaide, South Australia, Australia

    Lakhmi C. Jain

  2. Department of Computer Science and Engin, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. Department of Premier and Cabinet, Office of the Chief Information Officer, Adelaide, South Australia, Australia

    Nikhil Ichalkaranje

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer India

About this paper

Cite this paper

Behera, S.K., Behera, L.K., Padhi, P., Nayak, M. (2015). Application of Genetic Algorithm for Component Optimization to Deploy Geoprocessing Web. In: Jain, L., Patnaik, S., Ichalkaranje, N. (eds) Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 308. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2012-1_21

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-2012-1_21

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2011-4

  • Online ISBN: 978-81-322-2012-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation