Partial Functions in Fitness-Shared Genetic Programming


This paper investigates the use of partial functions and fitness sharing in genetic programming. Fitness sharing is applied to populations of either partial or total functions and the results compared. Applications to two classes of problem are investigated: learning multiplexer definitions, and learning (recursive) list membership functions. In both cases… (More)


24 Figures and Tables

Slides referencing similar topics