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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

邮发代号 80-970

2019 Impact Factor: 1.275

Frontiers of Computer Science  2022, Vol. 16 Issue (1): 161103   https://doi.org/10.1007/s11704-021-0395-8
  本期目录
Weapon-target assignment in unreliable peer-to-peer architecture based on adapted artificial bee colony algorithm
Xiaolong LIU1(), Jinchao LIANG1, De-Yu LIU2, Riqing CHEN1, Shyan-Ming YUAN2()
1. College of Computer and Information Sciences, Digital Fujian Institute of Big Data for Agriculture and Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
2. Department of Computer Science, Chiao Tung University, Hsinchu 300, China
 全文: PDF(1314 KB)  
Abstract

It is of great significance for headquarters in warfare to address the weapon-target assignment (WTA) problem with distributed computing nodes to attack targets simultaneously from different weapon units. However, the computing nodes on the battlefield are vulnerable to be attacked and the communication environment is usually unreliable. To solve the WTA problems in unreliable environments, this paper proposes a scheme based on decentralized peer-to-peer architecture and adapted artificial bee colony (ABC) optimization algorithm. In the decentralized architecture, the peer computing node is distributed to each weapon units and the packet loss rate is used to simulate the unreliable communication environment. The decisions made in each peer node will be merged into the decision set to carry out the optimal decision in the decentralized system by adapted ABC algorithm. The experimental results demonstrate that the decentralized peer-to-peer architecture perform an extraordinary role in the unreliable communication environment. The proposed scheme preforms outstanding results of enemy residual value (ERV) with the packet loss rate in the range from 0 to 0.9.

Key wordsweapon-target assignment (WTA)    peer-to-peer    heuristic algorithm    artificial bee colony (ABC)
收稿日期: 2020-07-31      出版日期: 2021-11-19
Corresponding Author(s): Xiaolong LIU,Shyan-Ming YUAN   
 引用本文:   
. [J]. Frontiers of Computer Science, 2022, 16(1): 161103.
Xiaolong LIU, Jinchao LIANG, De-Yu LIU, Riqing CHEN, Shyan-Ming YUAN. Weapon-target assignment in unreliable peer-to-peer architecture based on adapted artificial bee colony algorithm. Front. Comput. Sci., 2022, 16(1): 161103.
 链接本文:  
https://academic.hep.com.cn/fcs/CN/10.1007/s11704-021-0395-8
https://academic.hep.com.cn/fcs/CN/Y2022/V16/I1/161103
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