Confrontation-based Cooperative Fire Strike Decision-making Method of Assault Weapons and Support Weapons

doi:10.3969/j.issn.1000-1093.2019.03.023

Abstract

Abstract: A decision-making method for the cooperative fire strike (CFS) of assault weapons and support weapons in confrontation is proposed. And a decision-making model for CFS is established based on the ratio of friend or foe's residual values by studying the “point to point” strike of assault weapons and the “area damage” of long-range firepower support weapons, and the optimization process of decision-making of fire strike is considered. The decision of the assault weapons attacking the targets, the decision of the targets attacking the assault weapons and the drop points of projectiles launched from supporting weapons are taken as the optimization variables in decision-making model. A two-level iterative optimization method based on artificial bee colony (ABC) algorithm is proposed to solve the CFS decision-making optimization model. The integer is used to encode the decision variables, and the penalty function method is used to deal with the constraints. The decision-making model is transformed into an unconstrained mixed integer optimization problem. In view of the implementation process of the proposed algorithm, the computational complexity of the two-level iterative ABC algorithm is analyzed. A CFS example is used to verify the rationality and effectiveness of the collaborative fire strike decision-making model and the solving algorithm.Key

Key words: assaultweapon, supportweapon, cooperativefirestrike, weapon-targetassignment, decision-making, artificialbeecolonyalgorithm

CLC Number:

E920.8

KONG Depeng, CHANG Tianqing, HAO Na, ZHANG Lei, GUO Libin. Confrontation-based Cooperative Fire Strike Decision-making Method of Assault Weapons and Support Weapons[J]. Acta Armamentarii, 2019, 40(3): 629-640.

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第40卷
第3期2019 年3月兵工学报ACTA
ARMAMENTARIIVol.40No.3Mar.2019

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