Abstract
Aerial cooperative combination formation (ACCF) become a new problem when the manned/unmanned combat agents task coalition performing the air–air task. The problem of ACC formation focuses on the method to allocate the weapon units, guidance units and targets in a time-slack in order to maximize the effectiveness of the task coalition. According to the operational context, a constrained optimization model was proposed for the problem and a novel nested genetic algorithm (NGA) was designed to solve the model. In NGA, the outer-loop of GA searched for the best weapon-guidance combination and the inner-loop of GA searched for the best weapon-target allocation. Aiming to discrete characteristics of the problem, the coding rules, crossover operators and mutation operators was specially designed. Experimental results show that the proposed algorithm can solve the three-dimensional ACCF problem effectively.
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Acknowledgments
This work was financially supported by the National Natural Science Foundation of China (70771157), Innovation Program of Air Force Engineering University Doctor Commission (KDY2011-002).
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Wan, L., Yao, P. (2013). Aerial Cooperative Combination Formation Method of Manned/Unmanned Combats Agents. In: Sun, Z., Deng, Z. (eds) Proceedings of 2013 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 255. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38460-8_18
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DOI: https://doi.org/10.1007/978-3-642-38460-8_18
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