Emergent semiotics in genetic programming and the self-adaptive semantic crossover
pp. 381-392
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.
Publication details
Published in:
Magnani Lorenzo, Carnielli Walter, Pizzi Claudio (2010) Model-based reasoning in science and technology: abduction, logic, and computational discovery. Dordrecht, Springer.
Pages: 381-392
DOI: 10.1007/978-3-642-15223-8_21
Full citation:
Inhasz Rafael (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, 381–392.