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To What Extent Can Simulation Optimization be Used in Wildlife Reserve Design?

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNAbstract

Published

Standard

To What Extent Can Simulation Optimization be Used in Wildlife Reserve Design? / Zhou, Shengjie.
Proceedings of the 2023 Winter Simulation Conference (Archive). ed. / C.G Corlu; S.R Hunter; H. Lam; B.S Onggo; J. Shortle; B. Biller. 2024.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNAbstract

Harvard

Zhou, S 2024, To What Extent Can Simulation Optimization be Used in Wildlife Reserve Design? in CG Corlu, SR Hunter, H Lam, BS Onggo, J Shortle & B Biller (eds), Proceedings of the 2023 Winter Simulation Conference (Archive). <https://informs-sim.org/wsc23papers/doc127.pdf>

APA

Zhou, S. (2024). To What Extent Can Simulation Optimization be Used in Wildlife Reserve Design? In C. G. Corlu, S. R. Hunter, H. Lam, B. S. Onggo, J. Shortle, & B. Biller (Eds.), Proceedings of the 2023 Winter Simulation Conference (Archive) https://informs-sim.org/wsc23papers/doc127.pdf

Vancouver

Zhou S. To What Extent Can Simulation Optimization be Used in Wildlife Reserve Design? In Corlu CG, Hunter SR, Lam H, Onggo BS, Shortle J, Biller B, editors, Proceedings of the 2023 Winter Simulation Conference (Archive). 2024 Epub 2023 Dec 10.

Author

Zhou, Shengjie. / To What Extent Can Simulation Optimization be Used in Wildlife Reserve Design?. Proceedings of the 2023 Winter Simulation Conference (Archive). editor / C.G Corlu ; S.R Hunter ; H. Lam ; B.S Onggo ; J. Shortle ; B. Biller. 2024.

Bibtex

@inbook{feb36b43a6b34e7caa0f8e5f37402904,
title = "To What Extent Can Simulation Optimization be Used in Wildlife Reserve Design?",
abstract = "Wildlife reserves serve as a critical tool for conserving wildlife species. The design of such reserves can be formulated as a simulation optimization problem, with the objective of minimizing conservation costs while satisfying species survival constraints. Our research explores this problem formulation and the relevant solution methods, with a particular focus on the Chance Constrained Selection of the Best algorithm. We formulate the problem using a deterministic objective function subject to a probabilistic constraint. To estimate the survival probability under various policies, we have developed a Gray Wolf (Canis lupus) model that simulates the wolves{\textquoteright} dispersal, breeding, and death processes in discrete timesteps. Our poster presents three scenarios that demonstrate the potential use of Simulation Optimization techniques in wildlife conservation",
author = "Shengjie Zhou",
year = "2024",
month = feb,
day = "2",
language = "English",
editor = "C.G Corlu and S.R Hunter and H. Lam and B.S Onggo and J. Shortle and B. Biller",
booktitle = "Proceedings of the 2023 Winter Simulation Conference (Archive)",

}

RIS

TY - CHAP

T1 - To What Extent Can Simulation Optimization be Used in Wildlife Reserve Design?

AU - Zhou, Shengjie

PY - 2024/2/2

Y1 - 2024/2/2

N2 - Wildlife reserves serve as a critical tool for conserving wildlife species. The design of such reserves can be formulated as a simulation optimization problem, with the objective of minimizing conservation costs while satisfying species survival constraints. Our research explores this problem formulation and the relevant solution methods, with a particular focus on the Chance Constrained Selection of the Best algorithm. We formulate the problem using a deterministic objective function subject to a probabilistic constraint. To estimate the survival probability under various policies, we have developed a Gray Wolf (Canis lupus) model that simulates the wolves’ dispersal, breeding, and death processes in discrete timesteps. Our poster presents three scenarios that demonstrate the potential use of Simulation Optimization techniques in wildlife conservation

AB - Wildlife reserves serve as a critical tool for conserving wildlife species. The design of such reserves can be formulated as a simulation optimization problem, with the objective of minimizing conservation costs while satisfying species survival constraints. Our research explores this problem formulation and the relevant solution methods, with a particular focus on the Chance Constrained Selection of the Best algorithm. We formulate the problem using a deterministic objective function subject to a probabilistic constraint. To estimate the survival probability under various policies, we have developed a Gray Wolf (Canis lupus) model that simulates the wolves’ dispersal, breeding, and death processes in discrete timesteps. Our poster presents three scenarios that demonstrate the potential use of Simulation Optimization techniques in wildlife conservation

M3 - Abstract

BT - Proceedings of the 2023 Winter Simulation Conference (Archive)

A2 - Corlu, C.G

A2 - Hunter, S.R

A2 - Lam, H.

A2 - Onggo, B.S

A2 - Shortle, J.

A2 - Biller, B.

ER -