Title :
Limits to expression in genetic programming: lattice-aggregate modeling
Author_Institution :
Artificial Intelligence Lab., Michigan Univ., Ann Arbor, MI, USA
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006246
