Abstract
In this paper, a hybrid multi-objective discrete particle swarm optimization (HMODPSO) algorithm was proposed to solve cooperative air combat dynamic weapon target assignment (DWTA). First, based on the threshold of damage probability and time window constraints, a new cooperative air combat DWTA multi-objective optimization model is presented. Second, in order to tackle the DWTA problem, a mixed MODPSO and neighborhood search algorithm is proposed. Finally, a typical two-stage DWTA scenario is performed by HMODPSO and compared with other three state-of-the-art algorithms. Simulation results verify the effectiveness of the new model and the superiority of the proposed algorithm.
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Peng, G., Fang, Y., Chen, S., Peng, W., Yang, D. (2016). A Hybrid Multi-objective Discrete Particle Swarm Optimization Algorithm for Cooperative Air Combat DWTA. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 682. Springer, Singapore. https://doi.org/10.1007/978-981-10-3614-9_15
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DOI: https://doi.org/10.1007/978-981-10-3614-9_15
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