An Optimization Method for Missile Testing Vehicle Based on Genetic Algorithm

DOI

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

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

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  - Proceedings of the 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  - 10.2991/citcs.2012.133
ID  - Liu2012/11
ER  -