Gene expression programming for induction of finite transducer

Jandhyala Seetha Manognya, Lipo Wang · 2009

This paper presents an alternative method for solving the problem of finite transducers using gene expression programming (GEP). Each individual in the GEP system represents a Mealy machine with outputs for each state. Be means of roulette-wheel sampling, individuals are chosen for the next generation and are put through a series of genetic operators which seek to change the mark-up of the individual to better fit the selection environment/ fitness sets. The system was tested with five problems to show its effectiveness and success at solving all of those problems.

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