سال انتشار: ۱۳۸۴

محل انتشار: سیزدهمین کنفرانس سالانه مهندسی مکانیک

تعداد صفحات: ۸

نویسنده(ها):

Ahmad Ghorbany – Malek Ashtar University Of Technology Academy Member, Isfahan, Islamic Azad University of Khomeini Shahr, Enginearing Department

چکیده:

One mission of the Defense Industry Research Center (DIRC) is the identification of foreign missile weapon systems. In the past, intuition and repeated runs of a missile performance model were required to converge to a solution compatible with observed flight characteristics. This approach can be time-consuming, as well as being subject to undesirable influences from the analyst’s biases. An alternative approach has been created toapply Genetic Algorithm (GA) techniques to allow automation of the process, wider exploration of the design space, and more optimal solutions matching the observational data. The GA, when interfaced with a missile performance model, was able to identify a set of missiles that very closely matched the observed performance of a given sample missile. The approach was able to provide the analyst with multiple candidate missiles for further analysis that would have been missed by the previous trial and error approach.