An optimal approach for generation of time delay algorithms for anti-air missiles

Abstract

This paper sets out a new approach for generating time before detonation in anti-air missiles equipped with proximity fuses. Conventional algorithms for determining these delay times rely on human effort, knowledge and experience, and are generally deficient. It is demonstrated that, by applying an evolutionary learning process, genetic programming (GP), determination of these times can be automated and made near optimal.