Emergent semiotics in genetic programming and the self-adaptive semantic crossover

Rafael Inhasz

pp. 381-392

in: Lorenzo Magnani, Walter Carnielli, Claudio Pizzi (eds), Model-based reasoning in science and technology, Berlin, Springer, 2010

Abstract

We present SASC, Self-Adaptive Semantic Crossover, a new class of crossover operators for genetic programming. SASC operators are designed to induce the emergence and then preserve good building-blocks, using meta-control techniques based on semantic compatibility measures. SASC performance is tested in a case study concerning the replication of investment funds.