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iTSA: an improved Tunicate Swarm Algorithm for defensive resource assignment problem

delete2022-03-28
delete5
PRE
AI
K
Kusum Yadav
J
Jalawi Sulaiman Alshudukhi
G
Gaurav Dhiman *
W
Wattana Viriyasitavat
DOI:10.1007/s00500-022-06979-zdelete
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摘要

摘要

En 中文
The weapon target assignment (WTA) problem is an important task to tactical arrangements in military commitment operations. It describes the optimal method to allocate defense in opposition to threats in fighting situations. It is an NP-complete issue in which no accurate outcome for all conceivable situations is known. The time performance of created algorithms is a major challenge in modeling the WTA problem, which has only been lately considered in related papers. This article improves the recently developed algorithm called improved Tunicate Swarm Algorithm (iTSA) which is inspired by the natural behavior of tunicates to solve the WTA problem. The suggested method is compared with well-known metaheuristic approaches. The experimental findings show that the method presented works better than previous competing metaheuristic approaches.
Keyword:
Defence
Optimization
Swarm
WTA

期刊

Soft Computing 封面图
Soft Computing
IF:
2.5
论文数:
1.0W
被引数:
2.1W

机构

C
Chandigarh University
学者数:
3.5K
论文数: 3.4K
被引数: 4.7K
U
university ha'il
学者数:
3.8K
论文数: 3.2K
被引数: 3
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