DocumentCode
709721
Title
Joint Tactical Air Request processing via genetic algorithm
Author
Noble, Jason ; Kurata, Koji ; Asharif, Mohammad Reza
Author_Institution
Depts. of Inf. Eng. & Mech. Eng., Univ. of the Ryukyus, Nishihara, Japan
fYear
2015
fDate
23-25 April 2015
Firstpage
88
Lastpage
91
Abstract
Our research demonstrates a system to match Joint Tactical Air Requests to close air support aircraft sections using genetic algorithms. We utilize basic weaponeering in our fitness function to maximize the value of enemy assets destroyed. We discuss the advantages of computer assisted air support processing compared to manual human processing, specifically for large quantities of requests and available aircraft.
Keywords
genetic algorithms; military aircraft; military computing; weapons; aircraft section; computer assisted air support processing; fitness function; genetic algorithm; joint tactical air request processing; weaponeering; air tasking order; c4isr; close air support; command & control; genetic algorithms; weaponeering;
fLanguage
English
Publisher
ieee
Conference_Titel
Defence Technology (ACDT), 2015 Asian Conference on
Conference_Location
Hua Hin
Print_ISBN
978-1-4799-8166-3
Type
conf
DOI
10.1109/ACDT.2015.7111590
Filename
7111590
Link To Document