Demonstrating the power of object-oriented genetic programming via the inference of graph models for complex networks

Traditionally, GP used a single tree-based representation which does not lend itself well to state-based programs or multiple behaviours. To alleviate this drawback, object-oriented GP (OOGP) introduced a means of evolving programs with multiple behaviours which could be easily extended to state-bas...

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Vydané v:	2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014) s. 305 - 311
Hlavní autori:	Medland, Michael Richard, Harrison, Kyle Robert, Ombuki-Berman, Beatrice M.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.07.2014
Predmet:	biologically inspired algorithms complex networks Computational modeling evolutionary computation genetic programming Genetics object-orientation Programming
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