Optimized formation assignment for large-scale air fleet using fuzzy clustering and genetic algorithm

[1]张科施，王正平.基于遗传模拟退火算法的空战编队优化研究[J].西北工业大学学报，2003，21(4)477-480 Zhang Keshi, Wang Zhengping. On optimizing largescale aircombat formation with simulatedannealing genetic algorithm[J]. Journal of Northwestern Polytechnical University, 2003, 21(4):477-480（in Chinese）  [2]Patrick C H Ma, Keith C C Chan, Xin Yao, et al. An evolutionary clustering algorithm for gene expression microarray data analysis[J]. IEEE Transactions on Evolutionary Computation, 2006, 10(3):296-314 [3]Bezdek J C. Pattern recognition with fuzzy objective function algorithms[M]. New York: Plenum Press, 1981:43-93 [4]Nikhil R Pal, Kuhu Pal, James M Keller, et al. A possibilistic fuzzy cmeans clustering algorithm[J]. IEEE Transactions on Fuzzy Systems, 2005, 13(4):517-530 [5]Holland J H. Genetic algorithms[J]. Scientific American, 1992,(9):44-50 [6]Vasconcelos J A, Ramirez J A, Takahashi R H C, et al. Improvements in genetic algorithms[J]. IEEE Transactions on Magnetics, 2001, 37(5):3414-3417 [7]Choe H, Jordan J B. On the optimal choice of parameters in a fuzzy cmeans algorithm[C]Proceedings of The 1st IEEE International Conference on Fuzzy Systems. San Diego, CA, USA: IEEE, 1992: 349-354 [8]Shen Yi, Shi Hong, Zhang Jianqiu. Improvement and optimization of a fuzzy cmeans clustering algorithm[C]Proceedings of The 18th IEEE Instrumentation and Measurement Technology Conference.Budapes: IEEE, 2001:1430-1433 [9]叶海军.模糊聚类分析技术及其应用研究[D].合肥：合肥工业大学电气与自动化工程学院，2006 Ye Haijun. The research on fuzzy clustering analysis technology and its application[D]. Hefei: School of Electric Engineering and Automation, HeFei University of Technology, 2006（in Chinese） [10]Choi D H, Oh S Y. A new mutation rule for evolutionary programming motivated from backproagation learning[J]. IEEE Transactions on Evolutionary Computation, 2000, 4(2): 188-190Choe H, Jordan J B. On the opt