A hybrid meta-heuristic DE/CS Algorithm for UCAV path planning

	A hybrid meta-heuristic DE/CS Algorithm for UCAV path planning
	Wang G.; Guo L.; Duan H.; Liu L.; Wang H.; Wang J.
	2012
发表期刊	Journal of Information and Computational Science
ISSN	15487741
卷号	9 期号:16 页码:4811-4818
摘要	Path planning for uninhabited combat air vehicle (UCAV) is a complicated high dimension optimization problem, which primarily centralizes on optimizing the flight route considering the different kinds of constrains. A new hybrid meta-heuristic differential evolution (DE) and cuckoo search (CS) algorithm is proposed to solve the UCAV path planning problem. DE is applied to optimize the process of selecting cuckoo of the CS model during the process of cuckoo in nest updating. Then, the UCAV can find the safe path by connecting the chosen nodes of the coordinates while avoiding the threat areas and costing minimum fuel. To prove the performance of DE/CS, it was compared with CS and other optimization methods. The results show that DE/CS is more effective and feasible in UCAV path planning than the other model. 2012 Binary Information Press.
收录类别	EI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/34588
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Wang G.,Guo L.,Duan H.,et al. A hybrid meta-heuristic DE/CS Algorithm for UCAV path planning[J]. Journal of Information and Computational Science,2012,9(16):4811-4818.
APA	Wang G.,Guo L.,Duan H.,Liu L.,Wang H.,&Wang J..(2012).A hybrid meta-heuristic DE/CS Algorithm for UCAV path planning.Journal of Information and Computational Science,9(16),4811-4818.
MLA	Wang G.,et al."A hybrid meta-heuristic DE/CS Algorithm for UCAV path planning".Journal of Information and Computational Science 9.16(2012):4811-4818.