Computer Science ›› 2016, Vol. 43 ›› Issue (2): 235-238.doi: 10.11896/j.issn.1002-137X.2016.02.049

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Target Grouping Algorithm Based on Multiple Combat Formations

YUAN De-ping, ZHENG Juan-yi, SHI Hao-shan and LIU Ning   

  • Online:2018-12-01 Published:2018-12-01

Abstract: A clustering algorithm was proposed for grouping enemy targets in the situation of the enemy multiple targets attacking our target groups.Firstly,the spatial clustering is realized by the constrained chameleon algorithm based on the geometric elements of the enemy’s targets.And then,the advantage function of the attacking elements for the ene-my’s space group is calculated by the geometric elements of enemy space groups,and the attack factor matrix of the space groups between two sides is formed.Finally,the enemy’s relationship groups are divided by a series derivation including computing the subjective weight and objective weight of the attack elements,deducing the synthetic weight and the attack matrix of the space groups between two sides.The effectiveness of the proposed algorithm was verified by the simulation of the given scene.

Key words: Target grouping,chameleon algorithm,Superiority function of attack,Synthetic weight

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