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pressure to create simpler and more intelligible programs; a new class of
comparison functions; and a facility for handling user defined functions to
create complex modular programs composed of simpler building blocks. In
the next chapter we are going to enlarge the scope of gene expression
programming by introducing the elegant structure developed to manipulate
random numerical constants. This elegant structure is indeed the cornerstone
of several new algorithms, including algorithms for polynomial induction
(chapter 7), parameter optimization (chapter 8), decision tree induction (chapter
9), and total neural network induction (chapter 10).
