Skip to main content
SpringerLink
Log in

Data Assimilation of a Biological Model Using Genetic Algorithms

  • Conference paper
Applications and Innovations in Intelligent Systems XIV (SGAI 2006)

Abstract

In this paper the calibration of well known biological system namely Lotka-Volterra model is done using Genetic Algorithms. The problem of parameter estimation is formulated as an optimization problem, which is highly non linearand multimodal in nature. Binary Genetic Algorithms as well as Real Genetic Algorithms have been used to obtain the results.The comparative study showsthat the Real Genetic Algorithm is more promising.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Cao H.-Q., Kang, L., Guo, T., Chen, Yu-Ping, Garis H. D. A two level hybrid evolutionary algorithm for modeling one-dimensional dynamic system by higher-order ODE models, Haris, IEE transaction on System, Man and Cybernatics 2000; 30(2): 351–357.

    Article  Google Scholar 

  2. Goldberg, D. E. Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, 1989.

    Google Scholar 

  3. Fasham, M. J. R., Evans G. T. The use of optimization technique to model marine ecosystems dynamics at JGOFS station at 47 deh N 20 deg W, Philosophical Transaction of the Royal Society London 1995; 203–209.

    Google Scholar 

  4. Lawson, L. M., Spitz, Y. H., Hoffman, E. E., Long, R. B. A data Assimilation technique applied to a Prey-Predator Model, Bulletin of Mathematical Biology 1995; 57: 593–617.

    MATH  Google Scholar 

  5. Matear, R. J. Parameter optimization and analysis of ecosystem models using simulated annealing: a case study at station P., Journal of Marine Research 1995; 53: 571–607.

    Article  Google Scholar 

  6. Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs, Springer Verlag, 1994.

    Google Scholar 

  7. Prunett, P., Minster, J. F., Dadou, I. Assimilation of surface data in one dimensional physical-biogeochemical model of Surface Ocean: 2. Adjusting a simple trophic model to chlorophyll, temperature, nitrate and pC02 data. Global Biogeochemical Cycles 1996; 10: 139–158.

    Article  Google Scholar 

  8. Prunett, P., Minster, J. F., Ruiz-Pino, D. Assimilation of surface data in onedimensional physical-biogeochemical model of Surface Ocean: 1. Methods and preliminary results, Global Biogeochemical Cycles 1996; 10:111–138.

    Article  Google Scholar 

  9. Roeva, O., Pencheva, T., Hitzmann, B., Tzonkov, S. A genetic algorithm based approach for identification of Escherichia coli fed-batch fermentation, Bioautomation 2004; 1: 30–41.

    Google Scholar 

  10. Walmag, J. M. B., Delhez, E. J. M. A trust region method applied to parameter identification of a simple prey-predator model, Applied Mathematical Modelling 2005; 29: 289–307.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mathematics, Indian Institute of Technology, Roorkee, (India)

    Manoj Thakur & Kusum Deep

Authors
  1. Manoj Thakur
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kusum Deep
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Stratum Management Ltd, UK

    Richard Ellis BSc, MSc

  2. Nottingham Trent University, UK

    Tony Allen PhD

  3. Department of Computing, City University, London

    Andrew Tuson MA, MSc, PhD, MBCS

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag London Limited

About this paper

Cite this paper

Thakur, M., Deep, K. (2007). Data Assimilation of a Biological Model Using Genetic Algorithms. In: Ellis, R., Allen, T., Tuson, A. (eds) Applications and Innovations in Intelligent Systems XIV. SGAI 2006. Springer, London. https://doi.org/10.1007/978-1-84628-666-7_20

Download citation

  • DOI: https://doi.org/10.1007/978-1-84628-666-7_20

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-665-0

  • Online ISBN: 978-1-84628-666-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation