Abstract
Cruise missile route planning aims to improve the penetration capability and survivability of cruise missiles, and ensure the accuracy of hits, which plays a significant part in ensuring the effective completion of combat missions. The essence of the cruise missile route planning is to determine a flight route under the given constraints, so that the cruise missile can reach the target position safely and meet the condition of satisfying the maneuvering characteristics of the cruise missile to the maximum extent. In this paper, a cruise missile route planning space model is established, and three swarm intelligence algorithms, including grey wolf optimizer (GWO), firefly algorithm and particle swarm optimization (PSO), are applied to the cruise missile route planning problem. To verify the effectiveness and compare the performance of these swarm intelligence algorithms in this problem, relevant simulation experiments is designed and implemented.
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He, Y., Qu, K., Xia, X. (2022). Simulation Verification of Cruise Missile Route Planning Based on Swarm Intelligence Algorithm. 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_44
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DOI: https://doi.org/10.1007/978-981-19-9195-0_44
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