Proceedings of the 2012 National Conference on Information Technology and Computer Science

An Optimization Method for Missile Testing Vehicle Based on Genetic Algorithm

Authors
Ai-zhen Liu, Li-yun Chen, Xiu-feng Gao, Xi Li
Corresponding Author
Ai-zhen Liu
Available Online November 2012.
DOI
https://doi.org/10.2991/citcs.2012.133How to use a DOI?
Keywords
Missile Testing Vehicle; Optimization Method; Genetic Algorithm
Abstract
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
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Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.133How to use a DOI?
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  -