- author = "Qi Feng and Baoxi Guo and Jindong Zhu",
- title = "Trajectory Fitting of Aerial Bomb Based on Combination of Genetic Programming and ANT Colony Optimization",
- booktitle = "2018 37th Chinese Control Conference (CCC)",
- year = "2018",
- pages = "4843--4848",
- abstract = "A new integrated genetic programming (GP) and ant colony optimization (ACO) approach for bomb trajectory fitting was proposed. First, bomb dynamics simulation is performed to generate training data for the GP model. On the basis of mapping Input-output training of these trajectory data and launching initial value by genetic programming (GP), preliminary fitting analytic expression was obtained. And then, optimize the formula parameters obtained by GP using the Ant Colony Optimization (ACO). A large number of checking calculation shows that the GP-ACO fitting method has clear physical relations and high precision, and can fast calculating.",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.23919/ChiCC.2018.8482986",
- ISSN = "1934-1768",
- month = jul,
-
notes = "School of Electronic Information, Northwestern
Polytechnic University, Xi'an, 710072, China
Also known as \cite{8482986}",
