Emergent Semiotics in Genetic Programming and the Self-Adaptive Semantic Crossover

Studies in Computational Intelligence 314:381-392 (2010)
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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 metacontrol techniques based on semantic compatibility measures. SASC performance is tested in a case study concerning the replication of investment funds.

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Julio Michael Stern
University of São Paulo

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