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Save the pine forests of wilt disease using a fractional optimal control strategy

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  • Ali, Hegagi Mohamed
  • Ameen, Ismail Gad

Abstract

There is no doubt that the pine trees contribute greatly to the strengthening of the economy and the domestic wealth in many countries, where they produce dense grain, maintain the soil, especially in the sand slopes, uses wood in fuel and is one of the most important sources of recreation. However, over the past few years, pine forests have been plagued by many diseases, notably the Pine Wilt Disease (PWD), which poses a major threat to these forests. So, in this article, we investigate the best strategy to reduce and eliminate this disease using fractional optimal control strategy. Here, we introduce a mathematical system of equations contains the fractional order derivative with respect to time which describes the transmission dynamics of PWD. We calculate the general basic reproduction number R0 and discuss the stability of a disease-free and endemic equilibrium in the proposed model. Furthermore, a Fractional Optimal Control Problem (FOCP) with three proposed controls is formulated, and the fractional order necessary conditions of optimality by using the Ponntryagin maximum principle are derived. We apply both analytical and numerical techniques on the FOCP with suggested controls to demonstrate the effective control strategies to prevent the transmission of the PWD. The numerical simulation of the suggested FOCP is presented and these results are expected to be helpful in the early treatment of PWD-infected trees.

Suggested Citation

  • Ali, Hegagi Mohamed & Ameen, Ismail Gad, 2020. "Save the pine forests of wilt disease using a fractional optimal control strategy," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
  • Handle: RePEc:eee:chsofr:v:132:y:2020:i:c:s0960077919305119
    DOI: 10.1016/j.chaos.2019.109554
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    References listed on IDEAS

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    1. Kwang Sung Lee, 2014. "Stability Analysis and Optimal Control Strategy for Prevention of Pine Wilt Disease," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-15, June.
    2. Rosa, Silvério & Torres, Delfim F.M., 2018. "Optimal control of a fractional order epidemic model with application to human respiratory syncytial virus infection," Chaos, Solitons & Fractals, Elsevier, vol. 117(C), pages 142-149.
    3. Khan, Muhammad Altaf & Khan, Rizwan & Khan, Yasir & Islam, Saeed, 2018. "A mathematical analysis of Pine Wilt disease with variable population size and optimal control strategies," Chaos, Solitons & Fractals, Elsevier, vol. 108(C), pages 205-217.
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    Cited by:

    1. Ameen, I. & Baleanu, Dumitru & Ali, Hegagi Mohamed, 2020. "An efficient algorithm for solving the fractional optimal control of SIRV epidemic model with a combination of vaccination and treatment," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    2. Shaw, Pawan Kumar & Kumar, Sunil & Momani, Shaher & Hadid, Samir, 2022. "Dynamical analysis of fractional plant disease model with curative and preventive treatments," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    3. El-Sayed, A.M.A. & Rida, S.Z. & Gaber, Y.A., 2020. "Dynamical of curative and preventive treatments in a two-stage plant disease model of fractional order," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    4. Ali, Hegagi Mohamed & Ameen, Ismail Gad, 2021. "Optimal control strategies of a fractional order model for Zika virus infection involving various transmissions," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    5. Ameen, Ismail Gad & Baleanu, Dumitru & Ali, Hegagi Mohamed, 2022. "Different strategies to confront maize streak disease based on fractional optimal control formulation," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    6. Baba, Bashir Abdullahi & Bilgehan, Bulent, 2021. "Optimal control of a fractional order model for the COVID – 19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    7. Hussain, Takasar & Aslam, Adnan & Ozair, Muhammad & Tasneem, Fatima & Gómez-Aguilar, J.F., 2021. "Dynamical aspects of pine wilt disease and control measures," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).

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