Deployment Optimization of Defense Stations in an Attack-Defense Aerial War Game
An attack–defense aerial war game is developed to maximize the capability of defense forces in protecting a target area from an attack force. The attack force is composed of multiple attack stations in slant or pincer formation, and each attack station can launch multiple attackers against the defen...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/21/10801 |
| _version_ | 1797469272969052160 |
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| author | Zhi-Xiang Jia Jean-Fu Kiang |
| author_facet | Zhi-Xiang Jia Jean-Fu Kiang |
| author_sort | Zhi-Xiang Jia |
| collection | DOAJ |
| description | An attack–defense aerial war game is developed to maximize the capability of defense forces in protecting a target area from an attack force. The attack force is composed of multiple attack stations in slant or pincer formation, and each attack station can launch multiple attackers against the defense force. The defense force is composed of one major post, two minor posts, and multiple defense stations, and each defense station is equipped with multiple interceptors against the approaching attackers. Four optional defense goals are proposed to guide the deployment of defense stations. A particle swarm optimization (PSO) algorithm is applied to acquire an optimal deployment plan of all the defense stations, under a specific defense goal. Multiple games are played with the optimal deployment plan, and the results are analyzed statistically. Interesting outlier cases are also inspected to gain more insights on the nature of the games. |
| first_indexed | 2024-03-09T19:18:05Z |
| format | Article |
| id | doaj.art-6089d02ab7234c7a92169c1d0d0977ec |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T19:18:05Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-6089d02ab7234c7a92169c1d0d0977ec2023-11-24T03:33:01ZengMDPI AGApplied Sciences2076-34172022-10-0112211080110.3390/app122110801Deployment Optimization of Defense Stations in an Attack-Defense Aerial War GameZhi-Xiang Jia0Jean-Fu Kiang1Graduate Institute of Communication Engineering, National Taiwan University, Taipei 10617, TaiwanGraduate Institute of Communication Engineering, National Taiwan University, Taipei 10617, TaiwanAn attack–defense aerial war game is developed to maximize the capability of defense forces in protecting a target area from an attack force. The attack force is composed of multiple attack stations in slant or pincer formation, and each attack station can launch multiple attackers against the defense force. The defense force is composed of one major post, two minor posts, and multiple defense stations, and each defense station is equipped with multiple interceptors against the approaching attackers. Four optional defense goals are proposed to guide the deployment of defense stations. A particle swarm optimization (PSO) algorithm is applied to acquire an optimal deployment plan of all the defense stations, under a specific defense goal. Multiple games are played with the optimal deployment plan, and the results are analyzed statistically. Interesting outlier cases are also inspected to gain more insights on the nature of the games.https://www.mdpi.com/2076-3417/12/21/10801aerial war gameattackdefenseroute planningdeploymentparticle swarm optimization (PSO) |
| spellingShingle | Zhi-Xiang Jia Jean-Fu Kiang Deployment Optimization of Defense Stations in an Attack-Defense Aerial War Game Applied Sciences aerial war game attack defense route planning deployment particle swarm optimization (PSO) |
| title | Deployment Optimization of Defense Stations in an Attack-Defense Aerial War Game |
| title_full | Deployment Optimization of Defense Stations in an Attack-Defense Aerial War Game |
| title_fullStr | Deployment Optimization of Defense Stations in an Attack-Defense Aerial War Game |
| title_full_unstemmed | Deployment Optimization of Defense Stations in an Attack-Defense Aerial War Game |
| title_short | Deployment Optimization of Defense Stations in an Attack-Defense Aerial War Game |
| title_sort | deployment optimization of defense stations in an attack defense aerial war game |
| topic | aerial war game attack defense route planning deployment particle swarm optimization (PSO) |
| url | https://www.mdpi.com/2076-3417/12/21/10801 |
| work_keys_str_mv | AT zhixiangjia deploymentoptimizationofdefensestationsinanattackdefenseaerialwargame AT jeanfukiang deploymentoptimizationofdefensestationsinanattackdefenseaerialwargame |