DocumentCode :
3396300
Title :
Study on Loading Scheme Optimal Algorithm of Airborne Ammunition for Group-craft Cooperative Air Combat
Author :
Meng, Chong ; Song, Hua-Wen ; Wang, Bian-Wen
Author_Institution :
Dept. of Equip. Command, Inst. of Equip. Command &Technol., Beijing, China
Volume :
3
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
269
Lastpage :
273
Abstract :
In order to furthest enhance the whole operation efficiency in group-craft cooperative air combat, this paper presents a new optimal algorithm of airborne ammunition loading scheme based on fighter planes synthesized efficiency index. First, by analyzing the correlative elements of loading scheme optimal modeling of airborne ammunition for group-craft cooperative air combat, an integer nonlinear program mathematic model about ammunition loading scheme is established. Second, this paper designs the six-step algorithm flows of solving the maximum of fighter planes synthesized efficiency index for group-craft cooperative air combat. Last, a simulation experiment shows that, the algorithm is of feasibility and validity, the solving speed is quick (the time is not beyond 10s to solve a 40-variables loading scheme mathematic model), the operation efficiency is high (the synthesized efficiency index of project 2 is higher 23.19 than the traditional project 1´s), which will offer scientific decision-making supports for operation department to constitute the group-craft cooperative air combat loading scheme quickly.
Keywords :
decision making; integer programming; military aircraft; missiles; nonlinear programming; airborne ammunition; correlative elements; decision-making; fighter planes; group-craft cooperative air combat; integer nonlinear program mathematic model; loading scheme optimal algorithm; operation efficiency; Aircraft; Atmospheric modeling; Indexes; Load modeling; Loading; Mathematical model; Missiles; airborne ammunition; group-craft cooperative air combat; loading scheme; optimal algorithm; synthesized efficiency index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
Type :
conf
DOI :
10.1109/AICI.2010.294
Filename :
5655401
Link To Document :
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