Аннотация
CPUs are often seen as sequential, however they have a
high degree of internal parallelism, typically
operating on 32 or 64 bits simultaneously. This paper
explores the idea of exploiting this internal
parallelism to extend the scope of genetic programming
(GP) and improve its efficiency. We call the resulting
form of GP sub-machine-code GP. The differences between
sub-machine-code GP and the usual form of GP are purely
semantic and largely language independent, i.e. any GP
system can potentially be used to do sub-machine code
GP. In this chapter this form of GP and some of its
applications are presented. The speed up obtained with
this technique on Boolean classification problems is
nearly 2 orders of magnitude.
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