Structure abstraction and genetic programming

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 20 Jan 2003Publisher:IEEEJournal:Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)

Authors: Tina Yu;

doi: 10.1109/cec.1999.781995

Structure abstraction and genetic programming

- Summary
- Metrics

Abstract

The selection of program representation can have strong impact on the performance of genetic programming. Previous work has shown that a particular program representation which supports structure abstraction is very effective in solving the general even parity problem. We investigate program structures and analyze all perfect solutions in the search space to provide explanation of why structure abstraction is so effective with this problem. This work provides guidelines for the application of structure abstraction to other problems.

Related Organizations

University College London
United Kingdom

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average