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View all- Kouchakpour PZaknich ABräunl T(2008)A survey and taxonomy of performance improvement of canonical genetic programmingKnowledge and Information Systems10.1007/s10115-008-0184-921:1(1-39)Online publication date: 12-Dec-2008
Genetic Programming (GP) is a technique that allows computer programs encoded as a set of tree structures to be evolved using an evolutionary algorithm. In GP, code bloat is a common phenomenon characterized by the size of individuals gradually ...
This research examines the cause of code growth (bloat) in genetic programming (GP). Currently there are three hypothesized causes of code growth in GP: protection, drift, and removal bias. We show that single node mutations increase code growth in ...
This paper investigates the relationship between code growth and problem difficulty in genetic programming. The symbolic regression problem domain is used to investigate this relationship using two different types of increased instance difficulty. ...
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