Abstract
The coordinated attack target allocation problem is essentially a combinatorial optimization problem. Firstly, the relevant knowledge of the weapon target allocation problem is introduced, and several commonly used intelligent algorithms for solving combinatorial optimization problems are introduced and compared by simulation. Secondly, the genetic algorithm is introduced in detail, and it is improved. An improved genetic algorithm based on greedy initialization, bucket sorting selection and adaptive operator is proposed, and the traveling salesman problem is used to analyze the algorithm before and after improvement. By comparison, the superiority of the improved algorithm is verified.
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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Zhang, L., Liu, M., Liu, S., Zhang, X. (2022). Research on Intelligent Algorithm for Target Allocation of Coordinated Attack. In: Fan, W., Zhang, L., Li, N., Song, X. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2022. Communications in Computer and Information Science, vol 1713. Springer, Singapore. https://doi.org/10.1007/978-981-19-9195-0_41
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DOI: https://doi.org/10.1007/978-981-19-9195-0_41
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