An Optimization Method for Missile Testing Vehicle Based on Genetic Algorithm
Ai-zhen Liu, Li-yun Chen, Xiu-feng Gao, Xi Li
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.133How to use a DOI?
- Missile Testing Vehicle; Optimization Method; Genetic Algorithm
- Planning the optimum number of Missile Testing Vehicles is very important to decrease testing cost especially testing time of kinds of missiles. To determine the number of vehicles, the mathematics model was established and an optimization method based on Genetic Algorithm was proposed. And an encoding rule based on vary numbers of the vehicle, maximum testing time and variable task list was designed; special cross operator, special transformation operator and mutation operator all based on one chromosome were proposed. The simulation results show that the solutions of this method can get a very perfect balance between testing cost and testing time compared with the other methods, and can adapted in the demands of accurate support in wartime
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ai-zhen Liu AU - Li-yun Chen AU - Xiu-feng Gao AU - Xi Li PY - 2012/11 DA - 2012/11 TI - An Optimization Method for Missile Testing Vehicle Based on Genetic Algorithm BT - 2012 National Conference on Information Technology and Computer Science PB - Atlantis Press SP - 518 EP - 522 SN - 1951-6851 UR - https://doi.org/10.2991/citcs.2012.133 DO - https://doi.org/10.2991/citcs.2012.133 ID - Liu2012/11 ER -