|A type of EVOLUTIONARY COMPUTATION devised by John Holland [HOLLAND92].
A model of machine learning that uses a genetic/evolutionary metaphor.
Implementations typically use fixed-length character strings to represent
their genetic information, together with a POPULATION of INDIVIDUALs which
undergo CROSSOVER and MUTATION
in order to find
interesting regions of the SEARCH SPACE.