Allocating Limited Resources to Protect a Massive Number of Targets Using a Game Theoretic Model
Joint Authors
Jiang, Y.
Yang, Huamin
Di, Xiaoqiang
Liu, Xu
Li, Jinqing
Wang, Huan
Zhao, Jianping
Cong, Ligang
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-13
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Resource allocation is the process of optimizing the rare resources.
In the area of security, how to allocate limited resources to protect a massive number of targets is especially challenging.
This paper addresses this resource allocation issue by constructing a game theoretic model.
A defender and an attacker are players and the interaction is formulated as a trade-off between protecting targets and consuming resources.
The action cost which is a necessary role of consuming resource is considered in the proposed model.
Additionally, a bounded rational behavior model (quantal response: QR), which simulates a human attacker of the adversarial nature, is introduced to improve the proposed model.
To validate the proposed model, we compare the different utility functions and resource allocation strategies.
The comparison results suggest that the proposed resource allocation strategy performs better than others in the perspective of utility and resource effectiveness.
American Psychological Association (APA)
Liu, Xu& Di, Xiaoqiang& Li, Jinqing& Wang, Huan& Zhao, Jianping& Yang, Huamin…[et al.]. 2019. Allocating Limited Resources to Protect a Massive Number of Targets Using a Game Theoretic Model. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1196108
Modern Language Association (MLA)
Liu, Xu…[et al.]. Allocating Limited Resources to Protect a Massive Number of Targets Using a Game Theoretic Model. Mathematical Problems in Engineering No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1196108
American Medical Association (AMA)
Liu, Xu& Di, Xiaoqiang& Li, Jinqing& Wang, Huan& Zhao, Jianping& Yang, Huamin…[et al.]. Allocating Limited Resources to Protect a Massive Number of Targets Using a Game Theoretic Model. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1196108
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196108