IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v83y2005i3p315-328.html
   My bibliography  Save this article

Differential evolution - an easy and efficient evolutionary algorithm for model optimisation

Author

Listed:
  • Mayer, D. G.
  • Kinghorn, B. P.
  • Archer, A. A.

Abstract

No abstract is available for this item.

Suggested Citation

  • Mayer, D. G. & Kinghorn, B. P. & Archer, A. A., 2005. "Differential evolution - an easy and efficient evolutionary algorithm for model optimisation," Agricultural Systems, Elsevier, vol. 83(3), pages 315-328, March.
    • Handle: RePEc:eee:agisys:v:83:y:2005:i:3:p:315-328
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(04)00074-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mayer, D.G. & Belward, J.A. & Burrage, K., 1998. "Tabu search not an optimal choice for models of agricultural systems," Agricultural Systems, Elsevier, vol. 58(2), pages 243-251, October.
    2. Mayer, D. G. & Belward, J. A. & Widell, H. & Burrage, K., 1999. "Survival of the fittest--genetic algorithms versus evolution strategies in the optimization of systems models," Agricultural Systems, Elsevier, vol. 60(2), pages 113-122, May.
    3. Mayer, D. G. & Belward, J. A. & Burrage, K., 2001. "Robust parameter settings of evolutionary algorithms for the optimisation of agricultural systems models," Agricultural Systems, Elsevier, vol. 69(3), pages 199-213, September.
    4. Mayer, D. G. & Belward, J. A. & Burrage, K., 1996. "Use of advanced techniques to optimize a multi-dimensional dairy model," Agricultural Systems, Elsevier, vol. 50(3), pages 239-253.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mark Neal, 2005. "The potential cost to New Zealand dairy farmers from the introduction of nitrate-based stocking rate restrictions," Murray-Darling Program Working Papers WP8M05, Risk and Sustainable Management Group, University of Queensland.
    2. Andrés Ramirez Hassan & Johnatan Cardona Jimenez, 2011. "An ordered categorical response model with endogenous switching: Simulation Exercises and an Application to State Health," Documentos de Trabajo de Valor Público 10608, Universidad EAFIT.
    3. Neal, Mark, 2005. "The potential cost to New Zealand dairy farmers from the introduction of nitrate-based stocking rate restrictions," Risk and Sustainable Management Group Working Papers 149854, University of Queensland, School of Economics.
    4. Villalba, D. & Díez-Unquera, B. & Carrascal, A. & Bernués, A. & Ruiz, R., 2019. "Multi-objective simulation and optimisation of dairy sheep farms: Exploring trade-offs between economic and environmental outcomes," Agricultural Systems, Elsevier, vol. 173(C), pages 107-118.
    5. Puchalsky, Weslly & Ribeiro, Gabriel Trierweiler & da Veiga, Claudimar Pereira & Freire, Roberto Zanetti & Santos Coelho, Leandro dos, 2018. "Agribusiness time series forecasting using Wavelet neural networks and metaheuristic optimization: An analysis of the soybean sack price and perishable products demand," International Journal of Production Economics, Elsevier, vol. 203(C), pages 174-189.
    6. Jalilov, Shokhrukh-Mirzo & Rahman, Wakilur & Palash, Salauddin & Jahan, Hasneen & Mainuddin, Mohammed & Ward, Frank A., 2022. "Exploring strategies to control the cost of food security: Evidence from Bangladesh," Agricultural Systems, Elsevier, vol. 196(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bergez, J. -E. & Garcia, F. & Lapasse, L., 2004. "A hierarchical partitioning method for optimizing irrigation strategies," Agricultural Systems, Elsevier, vol. 80(3), pages 235-253, June.
    2. Mayer, D. G. & Belward, J. A. & Burrage, K., 2001. "Robust parameter settings of evolutionary algorithms for the optimisation of agricultural systems models," Agricultural Systems, Elsevier, vol. 69(3), pages 199-213, September.
    3. Lehmann, Niklaus & Finger, Robert & Klein, Tommy & Calanca, Pierluigi & Walter, Achim, 2013. "Adapting crop management practices to climate change: Modeling optimal solutions at the field scale," Agricultural Systems, Elsevier, vol. 117(C), pages 55-65.
    4. Mayer, D. G. & Belward, J. A. & Widell, H. & Burrage, K., 1999. "Survival of the fittest--genetic algorithms versus evolution strategies in the optimization of systems models," Agricultural Systems, Elsevier, vol. 60(2), pages 113-122, May.
    5. West, Jason, 2019. "Multi-criteria evolutionary algorithm optimization for horticulture crop management," Agricultural Systems, Elsevier, vol. 173(C), pages 469-481.
    6. Lukin, Vladimir V. & Epplin, Francis M., 2003. "Optimal frequency and quantity of agricultural lime applications," Agricultural Systems, Elsevier, vol. 76(3), pages 949-967, June.
    7. West, J., 2018. "Multi-criteria evolutionary algorithm optimization in horticulture crop management," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276940, International Association of Agricultural Economists.
    8. Lehmann, Niklaus & Finger, Robert & Klein, Tommy & Calanca, Pierluigi & Walter, Achim, 2012. "Adapting Towards Climate Change: A Bioeconomic Analysis of Winterwheat and Grain Maize," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126483, International Association of Agricultural Economists.
    9. Parsons, D. J., 1998. "Optimising silage harvesting plans in a grass and grazing simulation using the revised simplex method and a genetic algorithm," Agricultural Systems, Elsevier, vol. 56(1), pages 29-44, January.
    10. Thornton, P. K. & Herrero, M., 2001. "Integrated crop-livestock simulation models for scenario analysis and impact assessment," Agricultural Systems, Elsevier, vol. 70(2-3), pages 581-602.
    11. Graeme J. Doole & David J. Pannell, 2008. "Optimisation of a Large, Constrained Simulation Model using Compressed Annealing," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 188-206, February.
    12. Yingxue Rao & Min Zhou & Chunxia Cao & Shukui Tan & Yan Song & Zuo Zhang & Deyi Dai & Guoliang Ou & Lu Zhang & Xin Nie & Aiping Deng & Zhuoma Cairen, 2019. "Exploring the quantitive relationship between economic benefit and environmental constraint using an inexact chance-constrained fuzzy programming based industrial structure optimization model," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2199-2220, July.
    13. Madan Jha & Gaurav Nanda & Manoj Samuel, 2004. "Determining Hydraulic Characteristics of Production Wells using Genetic Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(4), pages 353-377, August.
    14. Lehmann, Niklaus & Finger, Robert, 2012. "Optimizing whole-farm management considering price and climate risks," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122533, European Association of Agricultural Economists.
    15. L. Ingber & J.K. Wilson, 2000. "Statistical mechanics of financial markets: Exponential modifications to Black-Scholes," Lester Ingber Papers 00fm, Lester Ingber.
    16. Adeyemo, Josiah & Otieno, Fred, 2010. "Differential evolution algorithm for solving multi-objective crop planning model," Agricultural Water Management, Elsevier, vol. 97(6), pages 848-856, June.
    17. Mayer, D.G. & Belward, J.A. & Burrage, K., 1998. "Tabu search not an optimal choice for models of agricultural systems," Agricultural Systems, Elsevier, vol. 58(2), pages 243-251, October.
    18. Loonen, Willem & Heuberger, Peter S.C. & Bakema, Aldrik H. & Schot, Paul, 2006. "Application of a genetic algorithm to minimize agricultural nitrogen deposition in nature reserves," Agricultural Systems, Elsevier, vol. 88(2-3), pages 360-375, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:83:y:2005:i:3:p:315-328. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.