Dynamic weapon target allocation based on the multi objective whale optimization algorithm

DOI:	10.11809/bqzbgcxb2023.02.024
Keywords:	dynamic weapon target allocation; multi objective whale optimization algorithm; logistic mapping; non dominance hierarchy; congestion
Abstract:	Considering that the traditional dynamic weapon target allocation model is aimed at maximizing weapon attack revenue, which is too simple in design, and the existing intelligent algorithms have low convergence accuracy in solving this model, this paper proposes a non dominated sorting multi objective whale optimization algorithm (NSMWOA) to solve the dynamic weapon target assignment model. Firstly, in order to improve the quality of the initial solution, two logistic mappings are introduced to initialize the population, combine parent and offspring individuals, and rank individuals by calculating their non dominant levels and crowding degrees. Then, outstanding individuals are screened. The experimental results show that, in comparison with NSGA Ⅱ and MOPSO algorithm, the Pareto frontier obtained in the function test of NSMWOA is closer to the real Pareto frontier with a higher optimization precision, which provides a better assignment scheme in the dynamic weapon target assignment model.
Published:	2023-02-28
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