title: Dynamic page based crossover in linear genetic programming.
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, which is constant for all individuals in the population. Pairwise crossover results in the swapping of single pages, and 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.
authors.affiliation: Fac. of Comput. Sci., Dalhousie Univ., Halifax, NS.
authors.forename: M I
authors.initials: MI
authors.lastname: Heywood
authors.forename: A N
authors.initials: AN
authors.lastname: Zincir-Heywood