Skip to main content

Estimation Using Differential Evolution for Optimal Crop Plan

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5271))

Abstract

This paper presents an application of Differential Evolution (DE) to determine optimal crop plan for command area of Pamba-Achankovil-Vaippar (PAV) link project, so as to maximize the net irrigation benefit. The mathematical model of the problem is linear in nature subject to various constraints due to availability of total land area, water, fertilizers, seeds and manure, etc. Numerical results show that DE gives a better performance in comparison to the usual software tools used for solving such problems.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   179.00
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Paterlini, S., Krink, T.: High performance clustering with differential evolution. In: Proceedings of the IEEE Congress on Evolutionary Computation, vol. 2, pp. 2004–2011 (2004)

    Google Scholar 

  2. Omran, M., Engelbrecht, A., Salman, A.: Differential evolution methods for unsupervised image classification. In: Proceedings of the IEEE Congress on Evolutionary Computation, vol. 2, pp. 966–973 (2005a)

    Google Scholar 

  3. Storn, R.: Differential evolution design for an IIR-filter with requirements for magnitude and group delay. Technical Report TR-95-026, International Computer Science Institute, Berkeley, CA (1995)

    Google Scholar 

  4. Babu, B., Angira, R.: Optimization of non-linear functions using evolutionary computation. In: Proceedings of the 12th ISME International Conference on Mechanical Engineering, India, pp. 153–157 (2001)

    Google Scholar 

  5. Angira, R., Babu, B.: Evolutionary computation for global optimization of non-linear chemical engineering processes. In: Proceedings of International Symposium on Process Systems Engineering and Control, Mumbai, pp. 87–91 (2003)

    Google Scholar 

  6. Abbass, H.: A memetic pareto evolutionary approach to artificial neural networks. In: Stumptner, M., Corbett, D.R., Brooks, M. (eds.) Canadian AI 2001. LNCS (LNAI), vol. 2256, pp. 1–12. Springer, Heidelberg (2001a)

    Chapter  Google Scholar 

  7. Ramakrishnan, M.: Systems Analysis of Multireservoirs. M.E. Dissertation, Dept. of Hydrology. Univ. of Roorkee, Roorkee (1999)

    Google Scholar 

  8. Feasibility Report of Pamba-Achankovil-Vaippar Link Project, NWDA, Ministry of Water Resources, New Delhi, India (1995)

    Google Scholar 

  9. Rani, D.: Multilevel Optimization of a Water Resources System, Ph.D. Thesis, Dept. of Mathematics, Indian Inst. of Tech., Roorkee, India (2004)

    Google Scholar 

  10. Storn, R., Price, K.: Differential Evolution – a simple and efficient adaptive scheme for global optimization over continuous spaces, Technical Report, International Computer Science Institute, Berkley (1995)

    Google Scholar 

  11. Karaboga, D., Okdem, S.: A simple and Global Optimization Algorithm for Engineering Problems: Differential Evolution Algorithm. Turk J. Elec. Engin. 12(1), 53–60 (2004)

    Google Scholar 

  12. Storn, R., Price, K.: Differential Evolution – a simple and efficient Heuristic for global optimization over continuous spaces. Journal Global Optimization 11, 341–359 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  13. Handbook on Agriculture, ICAR, Ministry of Agriculture, New Delhi, India (1997)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Pant, M., Thangaraj, R., Rani, D., Abraham, A., Srivastava, D.K. (2008). Estimation Using Differential Evolution for Optimal Crop Plan. In: Corchado, E., Abraham, A., Pedrycz, W. (eds) Hybrid Artificial Intelligence Systems. HAIS 2008. Lecture Notes in Computer Science(), vol 5271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87656-4_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-87656-4_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87655-7

  • Online ISBN: 978-3-540-87656-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics