Abstract
Grammatical Evolution (GE) is a novel evolutionary
algorithm which uses an arbitrary variable-length
binary string to govern which production rule of a
Backus Naur Form grammar will be used in a
genotype-to-phenotype mapping process. This paper
introduces the Java GE project (jGE), which is an
implementation of GE in the Java language, and presents
the results of the first experiments which have been
conducted towards a knowledge sharing approach using
families of populations. The initial results show that
the application of Prior Knowledge and Population
Thinking in jGE is promising and this drives us toward
a further investigation of the family-based approach
whose main characteristics are the incorporation of
genetic/phenotypic diversity in the population and the
sharing of knowledge between individuals of the same
groups (families).
Users
Please
log in to take part in the discussion (add own reviews or comments).