Article,

Dynamic Page Based Crossover in Linear Genetic Programming

, and .
IEEE Transactions on Systems, Man, and Cybernetics: Part B - Cybernetics, 32 (3): 380--388 (June 2002)

Abstract

Page-based Linear Genetic Programming (GP) is proposed in which individuals are described in terms of a number of pages. Pages are expressed in terms of a fixed number of instructions, constant for all individuals in the population. Pairwise crossover results in the swapping of single pages, thus individuals are of a fixed number of instructions. Head-to-head comparison with Tree structured GP and block-based Linear GP indicates that the page-based approach evolves succinct solutions without penalizing generalization ability.

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