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.
- aerospace
- algorithms,
- anti-air
- automata,
- automated
- computation,
- delay-time
- determination,
- detonation,
- evolutionary
- fuzes,
- genetic
- guidance,
- learning
- missile
- missiles,
- optimization,
- programming,
- proximity
- simulation
- simulation,
- study
- timing
- timing,
- warhead
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