[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6839))

Included in the following conference series:

  • 3475 Accesses

Abstract

The present model is concerned with a multispecies fishery with two prey species both of which obeys the logistic law of growth and one predator species whose density is low. The predator consumes one of the prey species more intensively than the other because of its availability. For the predator species the growth function is taken as the model described by Smith. We assume that both the prey species are subjected to harvesting while the predator species is excluded from harvesting due to its low density. In this model we consider that the harvesting effort E is a function of time t. For optimization, we use the concept of generalized Legendre condition. The trajectory for the optimal singular extremal is derived and the optimal singular control is determined. Lastly, one numerical example is taken up and graph for steady state is drawn to illustrate the results.

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

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 35.99
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 44.99
Price includes VAT (United Kingdom)
  • 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.

Similar content being viewed by others

References

  1. Leitmann, G.: An Introduction to Optimal Control. McGraw-Hill, New York (1966)

    MATH  Google Scholar 

  2. Smith, J.M.: Mathematical Idea in Biology. Cambridge University Press, London (1968)

    Book  Google Scholar 

  3. Hale, J.K.: Ordinary Differential Equations. Wiley, New York (1969)

    MATH  Google Scholar 

  4. Clark, C.W.: Mathematical Bioeconomics: The Optimal Management of Renewable. Resources. John Wiley and Sons, New York (1976)

    MATH  Google Scholar 

  5. Goh, B.S.: Management and Analysis of Biological Populations. Elsevier, Amsterdam (1980)

    Google Scholar 

  6. Chaudhuri, K.S.: A bioeconomic model of harvesting a multispecies fishery. Ecol. Model. 32, 267–279 (1986)

    Article  Google Scholar 

  7. Chaudhuri, K.S.: Dynamic Optimization of Combined Harvesting of A Two-species fishery. Ecol. Model. 41, 17–25 (1988)

    Article  Google Scholar 

  8. Mestrerton-Goibbons, M.: A Technique for Finding Optimal Two Species Harvesting Policies. Ecol. Model. 92, 235–244 (1996)

    Article  Google Scholar 

  9. Das, T., Mukherjee, R.N., Chaudhuri, K.S.: Harvesting of A Prey-predator Fishery in the Presence of Toxicity. Applied Mathematical Modelling 33(5), 2282–2292 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  10. Das, T., Mukherjee, R.N., Chaudhuri, K.S.: Bioeconomic Harvesting of A Prey-predator Fishery. Journal of Biological Dynamics 3(5), 447–462 (2009)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Das, T., Mukherjee, R.N., Chaudhuri, K.S. (2012). Dynamics of a Two Prey One Predator Fishery with Low Predator Density. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25944-9_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25943-2

  • Online ISBN: 978-3-642-25944-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics