Research on vehicle assignment model for constraints handling based on computational intelligence algorithms

Feng Pan*, Jie Chen, Zhi Ping Ren, Guang Hui Wang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

3 引用 (Scopus)

摘要

The task allocation of unmanned aerial vehicle (UAV) is a complex assignment problem with various constraints. With the increase of the size of scenarios and the number of constraints, UAV assignment problems become more complicated. Especially, the potential dimensional explosion and optimization difficulty are unavoidable to those algorithms based on linear programming. A new UAV assignment model was proposed, which transforms the UAV assignment problem into a multi-constraint optimization problem. The proposed model reduces the dimension of solution space effectively, improves the optimization efficiency, and is adapted to the other computational intelligence algorithms. Several computational intelligence algorithms, such as particle swarm optimization, genetic algorithm, differential evolution algorithm, clonal selection algorithm, were applied to accomplish the optimization work. Numerical experimented results illustrate that the model has better adaptability and extensibility, can solve complex UAV assignment problems combined with the computational intelligence algorithms.

源语言英语
页(从-至)1706-1713
页数8
期刊Binggong Xuebao/Acta Armamentarii
30
12
出版状态已出版 - 12月 2009

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引用此

Pan, F., Chen, J., Ren, Z. P., & Wang, G. H. (2009). Research on vehicle assignment model for constraints handling based on computational intelligence algorithms. Binggong Xuebao/Acta Armamentarii, 30(12), 1706-1713.