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

Studies in Computational Intelligence (2010) 314 381-392
DOI: 10.1007/978-3-642-15223-8_21
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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. © 2010 Springer-Verlag Berlin Heidelberg.

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Inhasz, R., & Stern, J. M. (2010). Emergent semiotics in genetic programming and the self-adaptive semantic crossover. In Studies in Computational Intelligence (Vol. 314, pp. 381–392). https://doi.org/10.1007/978-3-642-15223-8_21

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