Interactive interpolating crossover in grammatical evolution

Interactive interpolating crossover allows a user to quickly see a large number of individuals formed by interactively-controlled interpolation between two or more parents. We study it here for the first time in the context of grammatical evolution (GE). We define methods of quantifying the behaviour of interpolations and use them to compare two methods of performing interpolation and two encodings for GE, one standard and one new. We conclude that a Cartesian interpolation combined with a novel developmental-style GE encoding gives the most usable results. We make connections between our work and broader issues of genotype-phenotype mappings, landscapes, and operators.

• Type: Conference
• Year: 2010
• Where: CEC
• Authors: James McDermott, Michael O'Neill, Anthony Brabazon
• Keywords: Artificial Intelligence, CEC 2010, Interactive Interpolating Crossover, Interactively-controlled Interpolation, Interpolation