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
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;
Conference_Titel :
Defence Technology (ACDT), 2015 Asian Conference on
Conference_Location :
Hua Hin
Print_ISBN :
978-1-4799-8166-3
DOI :
10.1109/ACDT.2015.7111590
