Description

We present an age- and stage-structured population model to study some methods of control of one of the most important grapevine pests, the European grapevine moth. We consider control by insecticides that reduce either the proportion of surviving eggs, larvae

We present an age- and stage-structured population model to study some methods of control of one of the most important grapevine pests, the European grapevine moth. We consider control by insecticides that reduce either the proportion of surviving eggs, larvae or both, as well as chemicals that cause mating disruption, thereby reducing the number of eggs laid. We formulate optimal control problems with cost functionals related to real-life costs in the wine industry, and we prove that these problems admit a unique solution. We also provide some numerical examples from simulation.

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Title
  • Optimal Control in a Multistage Physiologically Structured Insect Population Model
Contributors
Date Created
2014-11-15
Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.1016/j.amc.2014.09.014
    • Identifier Type
      International standard serial number
      Identifier Value
      0096-3003
    Note
    • NOTICE: this is the author's version of a work that was accepted for publication in APPLIED MATHEMATICS AND COMPUTATION. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in APPLIED MATHEMATICS AND COMPUTATION, 247, 573-588. DOI: 10.1016/j.amc.2014.09.014

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    This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.

    Picart, Delphine, & Milner, Fabio (2014). Optimal control in a multistage physiologically structured insect population model. APPLIED MATHEMATICS AND COMPUTATION, 247, 573-588. http://dx.doi.org/10.1016/j.amc.2014.09.014

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