title: Extracting Boolean rules from CA patterns.
abstract: A multiobjective genetic algorithm (GA) is introduced to identify both the neighborhood and the rule set in the form of a parsimonious Boolean expression for both one- and two-dimensional cellular automata (CA). Simulation results illustrate that the new algorithm performs well even when the patterns are corrupted by static and dynamic noise.
authors.affiliation: Sheffield Univ.
authors.forename: Y
authors.initials: Y
authors.lastname: Yang
authors.forename: S A
authors.initials: SA
authors.lastname: Billings