Book | Chapter
(2010) Model-based reasoning in science and technology, Dordrecht, Springer.
Emergent semiotics in genetic programming and the self-adaptive semantic crossover
Rafael Inhasz
pp. 381-392
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.
Publication details
DOI: 10.1007/978-3-642-15223-8_21
Full citation:
Inhasz, R. (2010)., Emergent semiotics in genetic programming and the self-adaptive semantic crossover, in L. Magnani, W. Carnielli & C. Pizzi (eds.), Model-based reasoning in science and technology, Dordrecht, Springer, pp. 381-392.
This document is unfortunately not available for download at the moment.