Genetic programming for anti-air missile proximity fuze delay-time algorithms

Abstract

This paper describes the application of genetic programming to delay-time algorithms for anti-air missiles equipped with proximity fuzes. Current algorithms for determining the delay-time before the detonation of a missile warhead rely on human effort and experience and are, in general, deficient. We show that by applying genetic programming, an evolutionary optimization technique, determination of the timing can be automated and made near-optimal. A simulation study is discussed.