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To what extent can simulation optimisation be used in wildlife conservation?

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Abstract

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To what extent can simulation optimisation be used in wildlife conservation? / Zhou, Shengjie; Worthington, David; Rhodes-Leader, Luke et al.
Proceedings of the Operational Research Society Simulation Workshop 2023 (SW23). Vol. 1 Operational Research Society, 2023. p. 285.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Abstract

Harvard

Zhou, S, Worthington, D, Rhodes-Leader, L & Williams, R 2023, To what extent can simulation optimisation be used in wildlife conservation? in Proceedings of the Operational Research Society Simulation Workshop 2023 (SW23). vol. 1, Operational Research Society, pp. 285, 2023 Simulation Workshop, Southampton, United Kingdom, 27/03/23. <https://www.theorsociety.com/media/7394/sw23_proceedings-final.pdf>

APA

Zhou, S., Worthington, D., Rhodes-Leader, L., & Williams, R. (2023). To what extent can simulation optimisation be used in wildlife conservation? In Proceedings of the Operational Research Society Simulation Workshop 2023 (SW23) (Vol. 1, pp. 285). Operational Research Society. https://www.theorsociety.com/media/7394/sw23_proceedings-final.pdf

Vancouver

Zhou S, Worthington D, Rhodes-Leader L, Williams R. To what extent can simulation optimisation be used in wildlife conservation? In Proceedings of the Operational Research Society Simulation Workshop 2023 (SW23). Vol. 1. Operational Research Society. 2023. p. 285

Author

Zhou, Shengjie ; Worthington, David ; Rhodes-Leader, Luke et al. / To what extent can simulation optimisation be used in wildlife conservation?. Proceedings of the Operational Research Society Simulation Workshop 2023 (SW23). Vol. 1 Operational Research Society, 2023. pp. 285

Bibtex

@inbook{3adbebe808e3408faf70a59b2199f54a,
title = "To what extent can simulation optimisation be used in wildlife conservation?",
abstract = "Reserve design is an important problem in wildlife conservation. The underlying aim of reserve design is to guarantee species' survival whilst minimising conservation costs. In the case of the Grey Wolf, their survival is based on stochastic dispersal, breeding, and death processes. And the conservation cost is related to the number of areas allocated for wolves to live in. To estimate the survival probability, we have built a model that simulates the whole population based on individual wolves in discrete time. The overall aim of the research is to investigate the extent to which Simulation Optimisation can be used to tackle the wolf conservation problem. The results of experiments using the Chance Constrained Selection of the Best (CCSB) algorithm will be presented and discussed on the poster. ",
author = "Shengjie Zhou and David Worthington and Luke Rhodes-Leader and Richard Williams",
year = "2023",
month = mar,
day = "27",
language = "English",
isbn = "9781713870951",
volume = "1",
pages = "285",
booktitle = "Proceedings of the Operational Research Society Simulation Workshop 2023 (SW23)",
publisher = "Operational Research Society",
note = "2023 Simulation Workshop, SW23 ; Conference date: 27-03-2023 Through 29-03-2023",
url = "https://www.theorsociety.com/events/simulation-workshop/",

}

RIS

TY - CHAP

T1 - To what extent can simulation optimisation be used in wildlife conservation?

AU - Zhou, Shengjie

AU - Worthington, David

AU - Rhodes-Leader, Luke

AU - Williams, Richard

PY - 2023/3/27

Y1 - 2023/3/27

N2 - Reserve design is an important problem in wildlife conservation. The underlying aim of reserve design is to guarantee species' survival whilst minimising conservation costs. In the case of the Grey Wolf, their survival is based on stochastic dispersal, breeding, and death processes. And the conservation cost is related to the number of areas allocated for wolves to live in. To estimate the survival probability, we have built a model that simulates the whole population based on individual wolves in discrete time. The overall aim of the research is to investigate the extent to which Simulation Optimisation can be used to tackle the wolf conservation problem. The results of experiments using the Chance Constrained Selection of the Best (CCSB) algorithm will be presented and discussed on the poster.

AB - Reserve design is an important problem in wildlife conservation. The underlying aim of reserve design is to guarantee species' survival whilst minimising conservation costs. In the case of the Grey Wolf, their survival is based on stochastic dispersal, breeding, and death processes. And the conservation cost is related to the number of areas allocated for wolves to live in. To estimate the survival probability, we have built a model that simulates the whole population based on individual wolves in discrete time. The overall aim of the research is to investigate the extent to which Simulation Optimisation can be used to tackle the wolf conservation problem. The results of experiments using the Chance Constrained Selection of the Best (CCSB) algorithm will be presented and discussed on the poster.

M3 - Abstract

SN - 9781713870951

VL - 1

SP - 285

BT - Proceedings of the Operational Research Society Simulation Workshop 2023 (SW23)

PB - Operational Research Society

T2 - 2023 Simulation Workshop

Y2 - 27 March 2023 through 29 March 2023

ER -