Lateral Jet Interaction Model Identification Based on Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{conf/aici/ChenDW11,

• author = "Shi-Ming Chen and Yun-Feng Dong and Xiao-Lei Wang",
• title = "Lateral Jet Interaction Model Identification Based on Genetic Programming",
• booktitle = "Proceedings Third International Conference on Artificial Intelligence and Computational Intelligence (AICI 2011) Part {I}",
• year = "2011",
• editor = "Hepu Deng and Duoqian Miao and Jingsheng Lei and Fu Lee Wang",
• volume = "7002",
• series = "Lecture Notes in Computer Science",
• pages = "484--491",
• address = "Taiyuan, China",
• month = sep # " 24-25",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, lateral jet, model identification, missile",
• isbn13 = "978-3-642-23880-2",
• DOI = "doi:10.1007/978-3-642-23881-9_63",
• size = "8 pages",
• abstract = "Precise lateral jet interaction models are required for missiles' blending control strategies. Because of the complicated flow field, the interaction models are multivariable, complex and coupled. Traditional aerodynamics coefficients model identification used Maximum-likelihood estimation to adjust the parameters of the postulation model, but it is not good at dealing with complex nonlinear models. A genetic programming (GP) method is proposed to identify the interaction model, which not only can optimise the parameters, but also can identify the model structure. The interaction model's inputs are altitude, mach number, attack angle and fire number of jets in wind channel experiment results, and its output is interaction force coefficient. The fitness function is root mean square error. Select suitable function set and terminal set for GP, then use GP to evolve model automatically. The identify process with different reproduced probability; crossover probability and mutation probability are compared. Results shows that GP's result error is decrease 30percent than multi-variable regression method.",
• bibdate = "2011-09-30",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/aici/aici2011-1.html#ChenDW11",

}

Genetic Programming entries for Shi-Ming Chen Yunfeng Dong Xiao-Lei Wang

Citations