Weapon Target Assignment Optimization Method Based on Genetic-Ant Colony Optimization
In order to tackle the low accuracy issue of evolutionary algorithms in solving weapon target assignment prob-lems,an algorithm with ant colony optimization named Genetic Algorithm based on Ant Colony Optimization is pro-posed.Chaotic mapping random initialization method is developed to initialize the population through logical chaotic mapping to improve the diversity of the initial population.A diversity swap strategy is put forward to swap some chromo-some regions·values to further improve the algorithm's diversity.Based on the idea of ant colony optimization,the ant colony recombination criterion is raised to enhance the algorithm·s convergence by using the ant·s search behavior.12 test instances are used for experiments,the ablation experiment proves the effectiveness of each strategy,and the comparative experiment results with 7 typical methods verify the superiority of the proposed method.
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