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A New Approach to Weapon-Target Assignment in Cooperative Air Combat

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Listed:
  • Yi-zhe Chang
  • Zhan-wu Li
  • Ying-xin Kou
  • Qing-peng Sun
  • Hai-yan Yang
  • Zheng-yan Zhao

Abstract

A new approach to solving weapon-target assignment (WTA) problem is proposed in this paper. Firstly, relative superiority that lays the foundation for assignment is calculated based on the combat power energy of the fighters. Based on the relative superiority, WTA problem is formulated. Afterwards, a hybrid algorithm consisting of improved artificial fish swarm algorithm (AFSA) and improved harmony search (HS) is introduced and furthermore applied to solve the assignment formulation. Finally, the proposed approach is validated by eight representative benchmark functions and two concrete cooperative air combat examples. The results show that the approach proposed in this paper achieves good performances in solving WTA problem in cooperative air combat.

Suggested Citation

  • Yi-zhe Chang & Zhan-wu Li & Ying-xin Kou & Qing-peng Sun & Hai-yan Yang & Zheng-yan Zhao, 2017. "A New Approach to Weapon-Target Assignment in Cooperative Air Combat," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-17, October.
    • Handle: RePEc:hin:jnlmpe:2936279
    DOI: 10.1155/2017/2936279
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    Cited by:

    1. Gebrail Bekdaş & Celal Cakiroglu & Sanghun Kim & Zong Woo Geem, 2023. "Optimal Dimensions of Post-Tensioned Concrete Cylindrical Walls Using Harmony Search and Ensemble Learning with SHAP," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    2. Mehmet Fatih HocaoÄŸlu, 2022. "Agent-based target evaluation and fire doctrine: an aspect-oriented programming view," The Journal of Defense Modeling and Simulation, , vol. 19(1), pages 107-121, January.

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