Weapon-target assignment in unreliable peer-to-peer architecture based on adapted artificial bee colony algorithm

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作者
Xiaolong Liu
Jinchao Liang
De-Yu Liu
Riqing Chen
Shyan-Ming Yuan
机构
[1] Fujian Agriculture and Forestry University,College of Computer and Information Sciences, Digital Fujian Institute of Big Data for Agriculture and Forestry
[2] Chiao Tung University,Department of Computer Science
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weapon-target assignment (WTA); peer-to-peer; heuristic algorithm; artificial bee colony (ABC);
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摘要
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.
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