DocumentCode
3561888
Title
Limits to expression in genetic programming: lattice-aggregate modeling
Author
Daida, Jason M.
Author_Institution
Artificial Intelligence Lab., Michigan Univ., Ann Arbor, MI, USA
Volume
1
fYear
2002
Firstpage
273
Lastpage
278
Abstract
This paper describes a general theoretical model of size and shape evolution in genetic programming. The proposed model incorporates a mechanism that is analogous to ballistic accretion in physics. The model indicates a four-region partition of GP search space. It further suggests that two of these regions are not searchable by GP
Keywords
evolutionary computation; search problems; GP search space; ballistic accretion; expression limits; four-region partition; genetic programming; lattice-aggregate modeling; shape evolution; size evolution; theoretical model; Artificial intelligence; Context modeling; Genetic programming; Heart; Laboratories; Lattices; Mathematical model; Physics; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1006246
Filename
1006246
Link To Document