@inproceedings{cbbbfcb2b23c4b43a592ce93873472a0,
title = "Flight midcourse guidance control based on genetic algorithm",
abstract = "An advanced flight midcourse guidance law based on genetic algorithm (GA) is proposed. The proposed midcourse guidance formulation minimizes the flight time and maximizes the terminal energy subject to a terminal intercept condition. GA is used to search the optimal attack angle for the flight trajectory. By combining GA and singular perturbation technique (SPT), the optimal flight guidance law is obtained consequently. SPT is applied to approximate the terminal flight time. Meanwhile, the paper completely eliminates the need for solving two-point boundary-value problems (TBPVP), which is too complex for derivation and implementation. The simulation results show that the resulting guidance law is near-optimal and the proposed method is valid. Especially, the GA guidance law can apply to intercept the maneuver targets successfully.",
keywords = "Flight midcourse guidance control, Genetic algorithm, Singular perturbation technique",
author = "Yang, \{Zhao Hua\} and Fang, \{Jian Cheng\} and Qi, \{Zhen Qiang\}",
year = "2005",
doi = "10.1145/1068009.1068246",
language = "英语",
isbn = "1595930108",
series = "GECCO 2005 - Genetic and Evolutionary Computation Conference",
pages = "1501--1506",
editor = "H.G. Beyer and U.M. O'Reilly and D. Arnold and W. Banzhaf and C. Blum and E.W. Bonabeau and E. Cantu-Paz and D. Dasgupta and K. Deb and \{et al\}, al",
booktitle = "GECCO 2005 - Genetic and Evolutionary Computation Conference",
note = "GECCO 2005 - Genetic and Evolutionary Computation Conference ; Conference date: 25-06-2005 Through 29-06-2005",
}